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summarization | transformers |
# CodeTrans model for source code summarization python
Pretrained model on programming language python using the t5 base model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized pyt... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_base_source_code_summarization_python_multitask_finetune | null | [
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"jax",
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization python
====================================================
Pretrained model on programming language python using the t5 base model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best with tokeniz... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
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summarization | transformers |
# CodeTrans model for source code summarization python
Pretrained model on programming language python using the t5 base model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized pyt... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_base_source_code_summarization_python_transfer_learning_finetune | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization python
====================================================
Pretrained model on programming language python using the t5 base model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best with tokeniz... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 base model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql function... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_base_source_code_summarization_sql | null | [
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"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 base model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql funct... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 base model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql function... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_base_source_code_summarization_sql_multitask | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 base model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql funct... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 base model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql function... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_base_source_code_summarization_sql_multitask_finetune | null | [
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"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 base model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql funct... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 base model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql functions... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_base_source_code_summarization_sql_transfer_learning_finetune | null | [
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"jax",
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"summarization",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 base model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql funct... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
feature-extraction | transformers | # CodeTrans transfer learning pre-trained model
Pretrained model on programming languages using the t5 base model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-base` model. It has its own SentencePiec... | {} | SEBIS/code_trans_t5_base_transfer_learning_pretrain | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #endpoints_compatible #text-generation-inference #region-us
| # CodeTrans transfer learning pre-trained model
Pretrained model on programming languages using the t5 base model architecture. It was first released in
this repository.
## Model description
This CodeTrans model is based on the 't5-base' model. It has its own SentencePiece vocabulary model. It used transfer-learnin... | [
"# CodeTrans transfer learning pre-trained model\nPretrained model on programming languages using the t5 base model architecture. It was first released in\nthis repository.",
"## Model description\n\nThis CodeTrans model is based on the 't5-base' model. It has its own SentencePiece vocabulary model. It used trans... | [
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"## Model des... | [
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summarization | transformers |
# CodeTrans model for api recommendation generation
Pretrained model for api recommendation generation using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-large` model. It has its... | {"tags": ["summarization"], "widget": [{"text": "parse the uses licence node of this package , if any , and returns the license definition if theres"}]} | SEBIS/code_trans_t5_large_api_generation_multitask | null | [
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"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for api recommendation generation
=================================================
Pretrained model for api recommendation generation using the t5 large model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-large... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for api recommendation generation
Pretrained model for api recommendation generation using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-large` model. It has its... | {"tags": ["summarization"], "widget": [{"text": "parse the uses licence node of this package , if any , and returns the license definition if theres"}]} | SEBIS/code_trans_t5_large_api_generation_multitask_finetune | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for api recommendation generation
=================================================
Pretrained model for api recommendation generation using the t5 large model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-large... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for api recommendation generation
Pretrained model for api recommendation generation using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-large` model. It has its... | {"tags": ["summarization"], "widget": [{"text": "parse the uses licence node of this package , if any , and returns the license definition if theres"}]} | SEBIS/code_trans_t5_large_api_generation_transfer_learning_finetune | null | [
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"endpoints_compatible",
"text-generation-inference",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for api recommendation generation
=================================================
Pretrained model for api recommendation generation using the t5 large model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-large... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java functi... | {"tags": ["summarization"], "widget": [{"text": "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"}]} | SEBIS/code_trans_t5_large_code_comment_generation_java_multitask | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code comment generation java
================================================
Pretrained model on programming language java using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokenized java fun... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
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summarization | transformers |
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java ... | {"tags": ["summarization"], "widget": [{"text": "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"}]} | SEBIS/code_trans_t5_large_code_comment_generation_java_multitask_finetune | null | [
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"jax",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation java
======================================================
Pretrained model on programming language java using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation go
Pretrained model on programming language go using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized go code functions: it works best with tokenized go function... | {"tags": ["summarization"], "widget": [{"text": "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot }"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_go_multitask | null | [
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"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation go
====================================================
Pretrained model on programming language go using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized go code functions: it works best with tokenized go f... | [
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n---------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrai... |
summarization | transformers |
# CodeTrans model for code documentation generation go
Pretrained model on programming language go using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized go code functions: it works best with tokenized go function... | {"tags": ["summarization"], "widget": [{"text": "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot }"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_go_multitask_finetune | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation go
====================================================
Pretrained model on programming language go using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized go code functions: it works best with tokenized go f... | [
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n---------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrai... |
summarization | transformers |
# CodeTrans model for code documentation generation go
Pretrained model on programming language go using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized go code functions: it works best with tokenized go function... | {"tags": ["summarization"], "widget": [{"text": "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot }"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_go_transfer_learning_finetune | null | [
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"text-generation-inference",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation go
====================================================
Pretrained model on programming language go using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized go code functions: it works best with tokenized go f... | [
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n---------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrai... |
summarization | transformers |
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java f... | {"tags": ["summarization"], "widget": [{"text": "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_java_multitask | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation java
======================================================
Pretrained model on programming language java using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java f... | {"tags": ["summarization"], "widget": [{"text": "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_java_multitask_finetune | null | [
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"text-generation-inference",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation java
======================================================
Pretrained model on programming language java using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java ... | {"tags": ["summarization"], "widget": [{"text": "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_java_transfer_learning_finetune | null | [
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"jax",
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"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation java
======================================================
Pretrained model on programming language java using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
36,
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation javascript
Pretrained model on programming language javascript using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized javascript code functions: it works best w... | {"tags": ["summarization"], "widget": [{"text": "function isStandardBrowserEnv ( ) { if ( typeof navigator !== 'undefined' && ( navigator . product === 'ReactNative' || navigator . product === 'NativeScript' || navigator . product === 'NS' ) ) { return false ; } return ( typeof window !== 'undefined' && typeof document... | SEBIS/code_trans_t5_large_code_documentation_generation_javascript_multitask | null | [
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"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation javascript
============================================================
Pretrained model on programming language javascript using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized javascript code functions: i... | [
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab noteb... | [
36,
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155
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... |
summarization | transformers |
# CodeTrans model for code documentation generation javascript
Pretrained model on programming language javascript using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized javascript code functions: it works best w... | {"tags": ["summarization"], "widget": [{"text": "function isStandardBrowserEnv ( ) { if ( typeof navigator !== 'undefined' && ( navigator . product === 'ReactNative' || navigator . product === 'NativeScript' || navigator . product === 'NS' ) ) { return false ; } return ( typeof window !== 'undefined' && typeof document... | SEBIS/code_trans_t5_large_code_documentation_generation_javascript_multitask_finetune | null | [
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"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation javascript
============================================================
Pretrained model on programming language javascript using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized javascript code functions: i... | [
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab noteb... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... |
summarization | transformers |
# CodeTrans model for code documentation generation javascript
Pretrained model on programming language javascript using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized javascript code functions: it works best wi... | {"tags": ["summarization"], "widget": [{"text": "function isStandardBrowserEnv ( ) { if ( typeof navigator !== 'undefined' && ( navigator . product === 'ReactNative' || navigator . product === 'NativeScript' || navigator . product === 'NS' ) ) { return false ; } return ( typeof window !== 'undefined' && typeof document... | SEBIS/code_trans_t5_large_code_documentation_generation_javascript_transfer_learning_finetune | null | [
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"pytorch",
"jax",
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"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation javascript
============================================================
Pretrained model on programming language javascript using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized javascript code functions: i... | [
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab noteb... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... |
summarization | transformers |
# CodeTrans model for code documentation generation php
Pretrained model on programming language php using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized php code functions: it works best with tokenized php funct... | {"tags": ["summarization"], "widget": [{"text": "public static function update ( $ table ) { if ( ! is_array ( $ table ) ) { $ table = json_decode ( $ table , true ) ; } if ( ! SchemaManager :: tableExists ( $ table [ 'oldName' ] ) ) { throw SchemaException :: tableDoesNotExist ( $ table [ 'oldName' ] ) ; } $ updater =... | SEBIS/code_trans_t5_large_code_documentation_generation_php_multitask | null | [
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"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us
| CodeTrans model for code documentation generation php
=====================================================
Pretrained model on programming language php using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized php code functions: it works best with tokenized ... | [
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab noteboo... |
summarization | transformers |
# CodeTrans model for code documentation generation php
Pretrained model on programming language php using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized php code functions: it works best with tokenized php funct... | {"tags": ["summarization"], "widget": [{"text": "public static function update ( $ table ) { if ( ! is_array ( $ table ) ) { $ table = json_decode ( $ table , true ) ; } if ( ! SchemaManager :: tableExists ( $ table [ 'oldName' ] ) ) { throw SchemaException :: tableDoesNotExist ( $ table [ 'oldName' ] ) ; } $ updater =... | SEBIS/code_trans_t5_large_code_documentation_generation_php_multitask_finetune | null | [
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"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation php
=====================================================
Pretrained model on programming language php using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized php code functions: it works best with tokenized ... | [
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for code documentation generation php
Pretrained model on programming language php using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized php code functions: it works best with tokenized php func... | {"tags": ["summarization"], "widget": [{"text": "public static function update ( $ table ) { if ( ! is_array ( $ table ) ) { $ table = json_decode ( $ table , true ) ; } if ( ! SchemaManager :: tableExists ( $ table [ 'oldName' ] ) ) { throw SchemaException :: tableDoesNotExist ( $ table [ 'oldName' ] ) ; } $ updater =... | SEBIS/code_trans_t5_large_code_documentation_generation_php_transfer_learning_finetune | null | [
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"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation php
=====================================================
Pretrained model on programming language php using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized php code functions: it works best with tokenized ... | [
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized... | {"tags": ["summarization"], "widget": [{"text": "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_python_multitask | null | [
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"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation python
========================================================
Pretrained model on programming language python using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best wit... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized... | {"tags": ["summarization"], "widget": [{"text": "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_python_multitask_finetune | null | [
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"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation python
========================================================
Pretrained model on programming language python using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best wit... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized... | {"tags": ["summarization"], "widget": [{"text": "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_python_transfer_learning_finetune | null | [
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"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation python
========================================================
Pretrained model on programming language python using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best wit... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for code documentation generation ruby
Pretrained model on programming language ruby using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized ruby code functions: it works best with tokenized ruby... | {"tags": ["summarization"], "widget": [{"text": "def add ( severity , progname , & block ) return true if io . nil? || severity < level message = format_message ( severity , progname , yield ) MUTEX . synchronize { io . write ( message ) } true end"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_ruby_multitask | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation ruby
======================================================
Pretrained model on programming language ruby using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized ruby code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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81,
146
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation ruby
Pretrained model on programming language ruby using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized ruby code functions: it works best with tokenized ruby... | {"tags": ["summarization"], "widget": [{"text": "def add ( severity , progname , & block ) return true if io . nil? || severity < level message = format_message ( severity , progname , yield ) MUTEX . synchronize { io . write ( message ) } true end"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_ruby_multitask_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation ruby
======================================================
Pretrained model on programming language ruby using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized ruby code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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85,
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] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation ruby
Pretrained model on programming language ruby using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized ruby code functions: it works best with tokenized ruby ... | {"tags": ["summarization"], "widget": [{"text": "def add ( severity , progname , & block ) return true if io . nil? || severity < level message = format_message ( severity , progname , yield ) MUTEX . synchronize { io . write ( message ) } true end"}]} | SEBIS/code_trans_t5_large_code_documentation_generation_ruby_transfer_learning_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation ruby
======================================================
Pretrained model on programming language ruby using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized ruby code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
36,
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85,
118
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for git commit message generation
Pretrained model on git commit using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized git commit: it works best with tokenized git commit.
## Model description... | {"tags": ["summarization"], "widget": [{"text": "new file mode 100644 index 000000000 . . 892fda21b Binary files / dev / null and b / src / plugins / gateway / lib / joscar . jar differ"}]} | SEBIS/code_trans_t5_large_commit_generation_multitask | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for git commit message generation
=================================================
Pretrained model on git commit using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized git commit: it works best with tokenized git commit.
Model descriptio... | [
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------",
... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrain... | [
36,
82,
158
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining da... |
summarization | transformers |
# CodeTrans model for git commit message generation
Pretrained model on git commit using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized git commit: it works best with tokenized git commit.
## Model description... | {"tags": ["summarization"], "widget": [{"text": "new file mode 100644 index 000000000 . . 892fda21b Binary files / dev / null and b / src / plugins / gateway / lib / joscar . jar differ"}]} | SEBIS/code_trans_t5_large_commit_generation_multitask_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for git commit message generation
=================================================
Pretrained model on git commit using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized git commit: it works best with tokenized git commit.
Model descriptio... | [
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------",
... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrain... | [
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86,
123
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining da... |
summarization | transformers |
# CodeTrans model for git commit message generation
Pretrained model on git commit using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized git commit: it works best with tokenized git commit.
## Model description... | {"tags": ["summarization"], "widget": [{"text": "new file mode 100644 index 000000000 . . 892fda21b Binary files / dev / null and b / src / plugins / gateway / lib / joscar . jar differ"}]} | SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for git commit message generation
=================================================
Pretrained model on git commit using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized git commit: it works best with tokenized git commit.
Model descriptio... | [
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------",
... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrain... | [
36,
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86,
123
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining da... |
summarization | transformers |
# CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-large` model. It has its own... | {"tags": ["summarization"], "widget": [{"text": "you are given an array of numbers a and a number b , compute the difference of elements in a and b"}]} | SEBIS/code_trans_t5_large_program_synthese_multitask | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for program synthesis
=====================================
Pretrained model on programming language lisp inspired DSL using the t5 large model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-large' model. It has ... | [
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nT... | [
36,
84,
155
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrainin... |
summarization | transformers |
# CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-large` model. It has its own... | {"tags": ["summarization"], "widget": [{"text": "you are given an array of numbers a and a number b , compute the difference of elements in a and b"}]} | SEBIS/code_trans_t5_large_program_synthese_multitask_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for program synthesis
=====================================
Pretrained model on programming language lisp inspired DSL using the t5 large model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-large' model. It has ... | [
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nT... | [
36,
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86,
124
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrainin... |
summarization | transformers |
# CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-large` model. It has its own... | {"tags": ["summarization"], "widget": [{"text": "you are given an array of numbers a and a number b , compute the difference of elements in a and b"}]} | SEBIS/code_trans_t5_large_program_synthese_transfer_learning_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for program synthesis
=====================================
Pretrained model on programming language lisp inspired DSL using the t5 large model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-large' model. It has ... | [
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nT... | [
36,
84,
86,
124
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrainin... |
summarization | transformers |
# CodeTrans model for source code summarization csharp
Pretrained model on programming language csharp using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized csharp code functions: it works best with tokenized cs... | {"tags": ["summarization"], "widget": [{"text": "public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds ( unixTimeStamp ) . ToLoca... | SEBIS/code_trans_t5_large_source_code_summarization_csharp_multitask | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us
| CodeTrans model for source code summarization csharp
====================================================
Pretrained model on programming language csharp using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized csharp code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate csharp function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization csharp
Pretrained model on programming language csharp using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized csharp code functions: it works best with tokenized csh... | {"tags": ["summarization"], "widget": [{"text": "public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds ( unixTimeStamp ) . ToLoca... | SEBIS/code_trans_t5_large_source_code_summarization_csharp_multitask_finetune | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization csharp
====================================================
Pretrained model on programming language csharp using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized csharp code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate csharp function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization csharp
Pretrained model on programming language csharp using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized csharp code functions: it works best with tokenized csh... | {"tags": ["summarization"], "widget": [{"text": "public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds ( unixTimeStamp ) . ToLoca... | SEBIS/code_trans_t5_large_source_code_summarization_csharp_transfer_learning_finetune | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization csharp
====================================================
Pretrained model on programming language csharp using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized csharp code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate csharp function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization Python
Pretrained model on programming language python using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized pyth... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_large_source_code_summarization_python_multitask | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization Python
====================================================
Pretrained model on programming language python using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate Python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate Python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate Python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for source code summarization python
Pretrained model on programming language python using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized py... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_large_source_code_summarization_python_multitask_finetune | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization python
====================================================
Pretrained model on programming language python using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for source code summarization python
Pretrained model on programming language python using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized py... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_large_source_code_summarization_python_transfer_learning_finetune | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization python
====================================================
Pretrained model on programming language python using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql functio... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask | null | [
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"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql func... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql functio... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask_finetune | null | [
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"summarization",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql func... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql function... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_large_source_code_summarization_sql_transfer_learning_finetune | null | [
"transformers",
"pytorch",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 large model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql func... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... | [
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"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining... |
feature-extraction | transformers | # CodeTrans transfer learning pre-trained model
Pretrained model on programming languages using the t5 large model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-large` model. It has its own SentencePi... | {} | SEBIS/code_trans_t5_large_transfer_learning_pretrain | null | [
"transformers",
"pytorch",
"t5",
"feature-extraction",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #feature-extraction #endpoints_compatible #text-generation-inference #region-us
| # CodeTrans transfer learning pre-trained model
Pretrained model on programming languages using the t5 large model architecture. It was first released in
this repository.
## Model description
This CodeTrans model is based on the 't5-large' model. It has its own SentencePiece vocabulary model. It used transfer-learn... | [
"# CodeTrans transfer learning pre-trained model\nPretrained model on programming languages using the t5 large model architecture. It was first released in\nthis repository.",
"## Model description\n\nThis CodeTrans model is based on the 't5-large' model. It has its own SentencePiece vocabulary model. It used tra... | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #endpoints_compatible #text-generation-inference #region-us \n",
"# CodeTrans transfer learning pre-trained model\nPretrained model on programming languages using the t5 large model architecture. It was first released in\nthis repository.",
"## Model descrip... | [
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"TAGS\n#transformers #pytorch #t5 #feature-extraction #endpoints_compatible #text-generation-inference #region-us \n# CodeTrans transfer learning pre-trained model\nPretrained model on programming languages using the t5 large model architecture. It was first released in\nthis repository.## Model description\n\nThis... |
summarization | transformers |
# CodeTrans model for api recommendation generation
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-small` model. It has its... | {"tags": ["summarization"], "widget": [{"text": "parse the uses licence node of this package , if any , and returns the license definition if theres"}]} | SEBIS/code_trans_t5_small_api_generation | null | [
"transformers",
"pytorch",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for api recommendation generation
=================================================
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-small... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n-------------... | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nT... | [
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"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrainin... |
summarization | transformers |
# CodeTrans model for api recommendation generation
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-small` model. It has its... | {"tags": ["summarization"], "widget": [{"text": "parse the uses licence node of this package , if any , and returns the license definition if theres"}]} | SEBIS/code_trans_t5_small_api_generation_multitask | null | [
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"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for api recommendation generation
=================================================
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-small... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for api recommendation generation
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-small` model. It has its... | {"tags": ["summarization"], "widget": [{"text": "parse the uses licence node of this package , if any , and returns the license definition if theres"}]} | SEBIS/code_trans_t5_small_api_generation_multitask_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for api recommendation generation
=================================================
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-small... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
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"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for api recommendation generation
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-small` model. It has its... | {"tags": ["summarization"], "widget": [{"text": "parse the uses licence node of this package , if any , and returns the license definition if theres"}]} | SEBIS/code_trans_t5_small_api_generation_transfer_learning_finetune | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for api recommendation generation
=================================================
Pretrained model for api recommendation generation using the t5 small model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-small... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
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"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java functi... | {"tags": ["summarization"], "widget": [{"text": "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"}]} | SEBIS/code_trans_t5_small_code_comment_generation_java | null | [
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"t5",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code comment generation java
================================================
Pretrained model on programming language java using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokenized java fun... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n-------------... | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nT... | [
34,
130
] | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrainin... |
summarization | transformers |
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java functi... | {"tags": ["summarization"], "widget": [{"text": "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"}]} | SEBIS/code_trans_t5_small_code_comment_generation_java_multitask | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code comment generation java
================================================
Pretrained model on programming language java using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokenized java fun... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java functi... | {"tags": ["summarization"], "widget": [{"text": "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"}]} | SEBIS/code_trans_t5_small_code_comment_generation_java_multitask_finetune | null | [
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"feature-extraction",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code comment generation java
================================================
Pretrained model on programming language java using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokenized java fun... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
36,
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120
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java functi... | {"tags": ["summarization"], "widget": [{"text": "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"}]} | SEBIS/code_trans_t5_small_code_comment_generation_java_transfer_learning_finetune | null | [
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"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code comment generation java
================================================
Pretrained model on programming language java using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokenized java fun... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
36,
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120
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation go
Pretrained model on programming language go using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized go code functions: it works best with tokenized go function... | {"tags": ["summarization"], "widget": [{"text": "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot }"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_go | null | [
"transformers",
"pytorch",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation go
====================================================
Pretrained model on programming language go using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized go code functions: it works best with tokenized go f... | [
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n---------------... | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... | [
34,
130
] | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining ... |
summarization | transformers |
# CodeTrans model for code documentation generation go
Pretrained model on programming language go using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized go code functions: it works best with tokenized go function... | {"tags": ["summarization"], "widget": [{"text": "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot }"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_go_multitask | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation go
====================================================
Pretrained model on programming language go using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized go code functions: it works best with tokenized go f... | [
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n---------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n... | [
36,
81,
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] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrai... |
summarization | transformers |
# CodeTrans model for code documentation generation go
Pretrained model on programming language go using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized go code functions: it works best with tokenized go function... | {"tags": ["summarization"], "widget": [{"text": "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot }"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_go_multitask_finetune | null | [
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"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation go
====================================================
Pretrained model on programming language go using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized go code functions: it works best with tokenized go f... | [
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n---------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrai... |
summarization | transformers |
# CodeTrans model for code documentation generation go
Pretrained model on programming language go using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized go code functions: it works best with tokenized go function... | {"tags": ["summarization"], "widget": [{"text": "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot }"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_go_transfer_learning_finetune | null | [
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"pytorch",
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"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation go
====================================================
Pretrained model on programming language go using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized go code functions: it works best with tokenized go f... | [
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n---------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n... | [
36,
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate go function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrai... |
summarization | transformers |
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java ... | {"tags": ["summarization"], "widget": [{"text": "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_java | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation java
======================================================
Pretrained model on programming language java using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
36,
130
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java f... | {"tags": ["summarization"], "widget": [{"text": "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_java_multitask | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation java
======================================================
Pretrained model on programming language java using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java f... | {"tags": ["summarization"], "widget": [{"text": "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_java_multitask_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation java
======================================================
Pretrained model on programming language java using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
36,
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized java code functions: it works best with tokenized java ... | {"tags": ["summarization"], "widget": [{"text": "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_java_transfer_learning_finetune | null | [
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| CodeTrans model for code documentation generation java
======================================================
Pretrained model on programming language java using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized java code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate java function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
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summarization | transformers |
# CodeTrans model for code documentation generation javascript
Pretrained model on programming language javascript using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized javascript code functions: it works best wi... | {"tags": ["summarization"], "widget": [{"text": "function isStandardBrowserEnv ( ) { if ( typeof navigator !== 'undefined' && ( navigator . product === 'ReactNative' || navigator . product === 'NativeScript' || navigator . product === 'NS' ) ) { return false ; } return ( typeof window !== 'undefined' && typeof document... | SEBIS/code_trans_t5_small_code_documentation_generation_javascript | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation javascript
============================================================
Pretrained model on programming language javascript using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized javascript code functions: i... | [
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n-------... | [
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"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab noteb... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... |
summarization | transformers |
# CodeTrans model for code documentation generation javascript
Pretrained model on programming language javascript using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized javascript code functions: it works best w... | {"tags": ["summarization"], "widget": [{"text": "function isStandardBrowserEnv ( ) { if ( typeof navigator !== 'undefined' && ( navigator . product === 'ReactNative' || navigator . product === 'NativeScript' || navigator . product === 'NS' ) ) { return false ; } return ( typeof window !== 'undefined' && typeof document... | SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation javascript
============================================================
Pretrained model on programming language javascript using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized javascript code functions: i... | [
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------... | [
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"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab noteb... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... |
summarization | transformers |
# CodeTrans model for code documentation generation javascript
Pretrained model on programming language javascript using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized javascript code functions: it works best w... | {"tags": ["summarization"], "widget": [{"text": "function isStandardBrowserEnv ( ) { if ( typeof navigator !== 'undefined' && ( navigator . product === 'ReactNative' || navigator . product === 'NativeScript' || navigator . product === 'NS' ) ) { return false ; } return ( typeof window !== 'undefined' && typeof document... | SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask_finetune | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation javascript
============================================================
Pretrained model on programming language javascript using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized javascript code functions: i... | [
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab noteb... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... |
summarization | transformers |
# CodeTrans model for code documentation generation javascript
Pretrained model on programming language javascript using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized javascript code functions: it works best wi... | {"tags": ["summarization"], "widget": [{"text": "function isStandardBrowserEnv ( ) { if ( typeof navigator !== 'undefined' && ( navigator . product === 'ReactNative' || navigator . product === 'NativeScript' || navigator . product === 'NS' ) ) { return false ; } return ( typeof window !== 'undefined' && typeof document... | SEBIS/code_trans_t5_small_code_documentation_generation_javascript_transfer_learning_finetune | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation javascript
============================================================
Pretrained model on programming language javascript using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized javascript code functions: i... | [
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab noteb... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate javascript function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... |
summarization | transformers |
# CodeTrans model for code documentation generation php
Pretrained model on programming language php using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized php code functions: it works best with tokenized php func... | {"tags": ["summarization"], "widget": [{"text": "public static function update ( $ table ) { if ( ! is_array ( $ table ) ) { $ table = json_decode ( $ table , true ) ; } if ( ! SchemaManager :: tableExists ( $ table [ 'oldName' ] ) ) { throw SchemaException :: tableDoesNotExist ( $ table [ 'oldName' ] ) ; } $ updater =... | SEBIS/code_trans_t5_small_code_documentation_generation_php | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation php
=====================================================
Pretrained model on programming language php using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized php code functions: it works best with tokenized ... | [
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for code documentation generation php
Pretrained model on programming language php using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized php code functions: it works best with tokenized php funct... | {"tags": ["summarization"], "widget": [{"text": "public static function update ( $ table ) { if ( ! is_array ( $ table ) ) { $ table = json_decode ( $ table , true ) ; } if ( ! SchemaManager :: tableExists ( $ table [ 'oldName' ] ) ) { throw SchemaException :: tableDoesNotExist ( $ table [ 'oldName' ] ) ; } $ updater =... | SEBIS/code_trans_t5_small_code_documentation_generation_php_multitask | null | [
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"endpoints_compatible",
"text-generation-inference",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation php
=====================================================
Pretrained model on programming language php using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized php code functions: it works best with tokenized ... | [
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for code documentation generation php
Pretrained model on programming language php using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized php code functions: it works best with tokenized php funct... | {"tags": ["summarization"], "widget": [{"text": "public static function update ( $ table ) { if ( ! is_array ( $ table ) ) { $ table = json_decode ( $ table , true ) ; } if ( ! SchemaManager :: tableExists ( $ table [ 'oldName' ] ) ) { throw SchemaException :: tableDoesNotExist ( $ table [ 'oldName' ] ) ; } $ updater =... | SEBIS/code_trans_t5_small_code_documentation_generation_php_multitask_finetune | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation php
=====================================================
Pretrained model on programming language php using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized php code functions: it works best with tokenized ... | [
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for code documentation generation php
Pretrained model on programming language php using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized php code functions: it works best with tokenized php funct... | {"tags": ["summarization"], "widget": [{"text": "public static function update ( $ table ) { if ( ! is_array ( $ table ) ) { $ table = json_decode ( $ table , true ) ; } if ( ! SchemaManager :: tableExists ( $ table [ 'oldName' ] ) ) { throw SchemaException :: tableDoesNotExist ( $ table [ 'oldName' ] ) ; } $ updater =... | SEBIS/code_trans_t5_small_code_documentation_generation_php_transfer_learning_finetune | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation php
=====================================================
Pretrained model on programming language php using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized php code functions: it works best with tokenized ... | [
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate php function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized... | {"tags": ["summarization"], "widget": [{"text": "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_python | null | [
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"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation python
========================================================
Pretrained model on programming language python using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best wit... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized... | {"tags": ["summarization"], "widget": [{"text": "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_python_multitask | null | [
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"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation python
========================================================
Pretrained model on programming language python using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best wit... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized... | {"tags": ["summarization"], "widget": [{"text": "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_python_multitask_finetune | null | [
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"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation python
========================================================
Pretrained model on programming language python using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best wit... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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118
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized... | {"tags": ["summarization"], "widget": [{"text": "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_python_transfer_learning_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation python
========================================================
Pretrained model on programming language python using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best wit... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for code documentation generation ruby
Pretrained model on programming language ruby using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized ruby code functions: it works best with tokenized ruby ... | {"tags": ["summarization"], "widget": [{"text": "def add ( severity , progname , & block ) return true if io . nil? || severity < level message = format_message ( severity , progname , yield ) MUTEX . synchronize { io . write ( message ) } true end"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_ruby | null | [
"transformers",
"pytorch",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation ruby
======================================================
Pretrained model on programming language ruby using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized ruby code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n-------------... | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nT... | [
34,
130
] | [
"TAGS\n#transformers #pytorch #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrainin... |
summarization | transformers |
# CodeTrans model for code documentation generation ruby
Pretrained model on programming language ruby using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized ruby code functions: it works best with tokenized ruby... | {"tags": ["summarization"], "widget": [{"text": "def add ( severity , progname , & block ) return true if io . nil? || severity < level message = format_message ( severity , progname , yield ) MUTEX . synchronize { io . write ( message ) } true end"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_ruby_multitask | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us
| CodeTrans model for code documentation generation ruby
======================================================
Pretrained model on programming language ruby using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized ruby code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab ... | [
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] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebo... |
summarization | transformers |
# CodeTrans model for code documentation generation ruby
Pretrained model on programming language ruby using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized ruby code functions: it works best with tokenized ruby... | {"tags": ["summarization"], "widget": [{"text": "def add ( severity , progname , & block ) return true if io . nil? || severity < level message = format_message ( severity , progname , yield ) MUTEX . synchronize { io . write ( message ) } true end"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_ruby_multitask_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation ruby
======================================================
Pretrained model on programming language ruby using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized ruby code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
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85,
120
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for code documentation generation ruby
Pretrained model on programming language ruby using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized ruby code functions: it works best with tokenized ruby ... | {"tags": ["summarization"], "widget": [{"text": "def add ( severity , progname , & block ) return true if io . nil? || severity < level message = format_message ( severity , progname , yield ) MUTEX . synchronize { io . write ( message ) } true end"}]} | SEBIS/code_trans_t5_small_code_documentation_generation_ruby_transfer_learning_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for code documentation generation ruby
======================================================
Pretrained model on programming language ruby using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized ruby code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n... | [
36,
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85,
118
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate ruby function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... |
summarization | transformers |
# CodeTrans model for git commit message generation
Pretrained model on git commit using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized git commit: it works best with tokenized git commit.
## Model description... | {"tags": ["summarization"], "widget": [{"text": "new file mode 100644 index 000000000 . . 892fda21b Binary files / dev / null and b / src / plugins / gateway / lib / joscar . jar differ"}]} | SEBIS/code_trans_t5_small_commit_generation | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us
| CodeTrans model for git commit message generation
=================================================
Pretrained model on git commit using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized git commit: it works best with tokenized git commit.
Model descriptio... | [
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n------------------\n\n... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.... | [
40,
134
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #has_space #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\n... |
summarization | transformers |
# CodeTrans model for git commit message generation
Pretrained model on git commit using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized git commit: it works best with tokenized git commit.
## Model description... | {"tags": ["summarization"], "widget": [{"text": "new file mode 100644 index 000000000 . . 892fda21b Binary files / dev / null and b / src / plugins / gateway / lib / joscar . jar differ"}]} | SEBIS/code_trans_t5_small_commit_generation_multitask | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for git commit message generation
=================================================
Pretrained model on git commit using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized git commit: it works best with tokenized git commit.
Model descriptio... | [
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------",
... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrain... | [
36,
82,
158
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining da... |
summarization | transformers |
# CodeTrans model for git commit message generation
Pretrained model on git commit using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized git commit: it works best with tokenized git commit.
## Model description... | {"tags": ["summarization"], "widget": [{"text": "new file mode 100644 index 000000000 . . 892fda21b Binary files / dev / null and b / src / plugins / gateway / lib / joscar . jar differ"}]} | SEBIS/code_trans_t5_small_commit_generation_multitask_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for git commit message generation
=================================================
Pretrained model on git commit using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized git commit: it works best with tokenized git commit.
Model descriptio... | [
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------",
... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrain... | [
36,
82,
86,
123
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining da... |
summarization | transformers |
# CodeTrans model for git commit message generation
Pretrained model on git commit using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized git commit: it works best with tokenized git commit.
## Model description... | {"tags": ["summarization"], "widget": [{"text": "new file mode 100644 index 000000000 . . 892fda21b Binary files / dev / null and b / src / plugins / gateway / lib / joscar . jar differ"}]} | SEBIS/code_trans_t5_small_commit_generation_transfer_learning_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for git commit message generation
=================================================
Pretrained model on git commit using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized git commit: it works best with tokenized git commit.
Model descriptio... | [
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------",
... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrain... | [
36,
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86,
123
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate git commit message using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining da... |
summarization | transformers |
# CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-small` model. It has its own... | {"tags": ["summarization"], "widget": [{"text": "you are given an array of numbers a and a number b , compute the difference of elements in a and b"}]} | SEBIS/code_trans_t5_small_program_synthese | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for program synthesis
=====================================
Pretrained model on programming language lisp inspired DSL using the t5 small model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-small' model. It has ... | [
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n------------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nT... | [
36,
133
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTrainin... |
summarization | transformers |
# CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-small` model. It has its own... | {"tags": ["summarization"], "widget": [{"text": "you are given an array of numbers a and a number b , compute the difference of elements in a and b"}]} | SEBIS/code_trans_t5_small_program_synthese_multitask | null | [
"transformers",
"pytorch",
"tf",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for program synthesis
=====================================
Pretrained model on programming language lisp inspired DSL using the t5 small model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-small' model. It has ... | [
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------... | [
"TAGS\n#transformers #pytorch #tf #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTr... | [
37,
84,
155
] | [
"TAGS\n#transformers #pytorch #tf #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining... |
summarization | transformers |
# CodeTrans model for program synthesis
Pretrained model on programming language lisp inspired DSL using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-small` model. It has its own... | {"tags": ["summarization"], "widget": [{"text": "you are given an array of numbers a and a number b , compute the difference of elements in a and b"}]} | SEBIS/code_trans_t5_small_program_synthese_multitask_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for program synthesis
=====================================
Pretrained model on programming language lisp inspired DSL using the t5 small model architecture. It was first released in
this repository.
Model description
-----------------
This CodeTrans model is based on the 't5-small' model. It has ... | [
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n------------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate lisp inspired DSL code using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nT... | [
36,
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86,
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summarization | transformers |
# CodeTrans model for program synthesis
## Table of Contents
- [Model Details](#model-details)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Environmenta... | {"tags": ["summarization"], "widget": [{"text": "you are given an array of numbers a and a number b , compute the difference of elements in a and b"}]} | SEBIS/code_trans_t5_small_program_synthese_transfer_learning_finetune | null | [
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| CodeTrans model for program synthesis
=====================================
Table of Contents
-----------------
* Model Details
* How to Get Started With the Model
* Uses
* Risks, Limitations and Biases
* Training
* Evaluation
* Environmental Impact
* Citation Information
Model Details
-------------
* Model Des... | [
"#### Direct Use\n\n\nThe model could be used to generate lisp inspired DSL code given the human language description tasks.\n\n\nRisks, Limitations and Biases\n-----------------------------\n\n\nAs detailed in this model’s publication, this model makes use of the data-set One Billion Word Language Model Benchmark ... | [
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summarization | transformers |
# CodeTrans model for source code summarization csharp
Pretrained model on programming language csharp using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized csharp code functions: it works best with tokenized cs... | {"tags": ["summarization"], "widget": [{"text": "public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds ( unixTimeStamp ) . ToLoca... | SEBIS/code_trans_t5_small_source_code_summarization_csharp | null | [
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| CodeTrans model for source code summarization csharp
====================================================
Pretrained model on programming language csharp using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized csharp code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate csharp function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization csharp
Pretrained model on programming language csharp using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized csharp code functions: it works best with tokenized cs... | {"tags": ["summarization"], "widget": [{"text": "public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds ( unixTimeStamp ) . ToLoca... | SEBIS/code_trans_t5_small_source_code_summarization_csharp_multitask | null | [
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| CodeTrans model for source code summarization csharp
====================================================
Pretrained model on programming language csharp using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized csharp code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate csharp function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization csharp
Pretrained model on programming language csharp using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized csharp code functions: it works best with tokenized csh... | {"tags": ["summarization"], "widget": [{"text": "public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds ( unixTimeStamp ) . ToLoca... | SEBIS/code_trans_t5_small_source_code_summarization_csharp_multitask_finetune | null | [
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| CodeTrans model for source code summarization csharp
====================================================
Pretrained model on programming language csharp using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized csharp code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate csharp function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization csharp
Pretrained model on programming language csharp using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized csharp code functions: it works best with tokenized csh... | {"tags": ["summarization"], "widget": [{"text": "public static DateTime ParseUnixDateTime ( double unixTime ) { var dt = new DateTime ( CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , CODE_INTEGER , System . DateTimeKind . Utc ) ; dt = dt . AddSeconds ( unixTimeStamp ) . ToLoca... | SEBIS/code_trans_t5_small_source_code_summarization_csharp_transfer_learning_finetune | null | [
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| CodeTrans model for source code summarization csharp
====================================================
Pretrained model on programming language csharp using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized csharp code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate csharp function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization python
Pretrained model on programming language python using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized py... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_small_source_code_summarization_python | null | [
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| CodeTrans model for source code summarization python
====================================================
Pretrained model on programming language python using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization python
Pretrained model on programming language python using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized py... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_small_source_code_summarization_python_multitask | null | [
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| CodeTrans model for source code summarization python
====================================================
Pretrained model on programming language python using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization python
Pretrained model on programming language python using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized py... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_small_source_code_summarization_python_multitask_finetune | null | [
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| CodeTrans model for source code summarization python
====================================================
Pretrained model on programming language python using the t5 small model architecture. It was first released in
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"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization python
Pretrained model on programming language python using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized python code functions: it works best with tokenized py... | {"tags": ["summarization"], "widget": [{"text": "'with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == \" ; Include this text \" : line = line + \" Include below \" out... | SEBIS/code_trans_t5_small_source_code_summarization_python_transfer_learning_finetune | null | [
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| CodeTrans model for source code summarization python
====================================================
Pretrained model on programming language python using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized python code functions: it works best with tokeni... | [
"### How to use\n\n\nHere is how to use this model to generate python function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n-----------... | [
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summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql functio... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_small_source_code_summarization_sql | null | [
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| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql func... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nEvaluation results\n--------------... | [
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summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql functio... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask | null | [
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| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql func... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
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summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql functio... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune | null | [
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#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql func... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
36,
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"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
summarization | transformers |
# CodeTrans model for source code summarization sql
Pretrained model on programming language sql using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans). This model is trained on tokenized sql code functions: it works best with tokenized sql function... | {"tags": ["summarization"], "widget": [{"text": "select time ( col0 ) from tab0"}]} | SEBIS/code_trans_t5_small_source_code_summarization_sql_transfer_learning_finetune | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"summarization",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us
| CodeTrans model for source code summarization sql
=================================================
Pretrained model on programming language sql using the t5 small model architecture. It was first released in
this repository. This model is trained on tokenized sql code functions: it works best with tokenized sql func... | [
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTraining data\n-------------\n\n\nThe supervised training tasks datasets can be downloaded on Link\n\n\nTraining procedure\n--------------... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\... | [
36,
81,
86,
121
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #summarization #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to generate sql function documentation using Transformers SummarizationPipeline:\n\n\nRun this example in colab notebook.\n\n\nTra... |
feature-extraction | transformers | # CodeTrans transfer learning pre-trained model
Pretrained model on programming languages using the t5 small model architecture. It was first released in
[this repository](https://github.com/agemagician/CodeTrans).
## Model description
This CodeTrans model is based on the `t5-small` model. It has its own SentencePi... | {} | SEBIS/code_trans_t5_small_transfer_learning_pretrain | null | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #feature-extraction #endpoints_compatible #text-generation-inference #region-us
| # CodeTrans transfer learning pre-trained model
Pretrained model on programming languages using the t5 small model architecture. It was first released in
this repository.
## Model description
This CodeTrans model is based on the 't5-small' model. It has its own SentencePiece vocabulary model. It used transfer-learn... | [
"# CodeTrans transfer learning pre-trained model\nPretrained model on programming languages using the t5 small model architecture. It was first released in\nthis repository.",
"## Model description\n\nThis CodeTrans model is based on the 't5-small' model. It has its own SentencePiece vocabulary model. It used tra... | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #endpoints_compatible #text-generation-inference #region-us \n",
"# CodeTrans transfer learning pre-trained model\nPretrained model on programming languages using the t5 small model architecture. It was first released in\nthis repository.",
"## Model de... | [
32,
33,
163
] | [
"TAGS\n#transformers #pytorch #jax #t5 #feature-extraction #endpoints_compatible #text-generation-inference #region-us \n# CodeTrans transfer learning pre-trained model\nPretrained model on programming languages using the t5 small model architecture. It was first released in\nthis repository.## Model description\n\... |
text2text-generation | transformers |
# legal_t5_small_cls_cs model
Model for classification of legal text written in Cszech. It was first released in
[this repository](https://github.com/agemagician/LegalTrans). This model is trained on three parallel corpus from jrc-acquis.
## Model description
legal_t5_small_cls_cs is based on the `t5-small` model ... | {"language": "Cszech", "tags": ["classification Cszech model"], "datasets": ["jrc-acquis"], "widget": [{"text": "Bez n\u00e1mitek k navrhovan\u00e9mu spojen\u00ed (P\u0159\u00edpad \u010d. COMP/M.4169 \u2013 Virgin/CPW/JV) (2006/C 103/16) (Text s v\u00fdznamem pro EHP) Dne 29. b\u0159ezna 2006 se Komise rozhodla nevzn\... | SEBIS/legal_t5_small_cls_cs | null | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"classification Cszech model",
"dataset:jrc-acquis",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"Cszech"
] | TAGS
#transformers #pytorch #jax #t5 #text2text-generation #classification Cszech model #dataset-jrc-acquis #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| legal\_t5\_small\_cls\_cs model
===============================
Model for classification of legal text written in Cszech. It was first released in
this repository. This model is trained on three parallel corpus from jrc-acquis.
Model description
-----------------
legal\_t5\_small\_cls\_cs is based on the 't5-smal... | [
"### How to use\n\n\nHere is how to use this model to classify legal text written in Cszech in PyTorch:\n\n\nTraining data\n-------------\n\n\nThe legal\\_t5\\_small\\_cls\\_cs model was trained on JRC-ACQUIS dataset consisting of 18 Thousand texts.\n\n\nTraining procedure\n------------------\n\n\nThe model was tra... | [
"TAGS\n#transformers #pytorch #jax #t5 #text2text-generation #classification Cszech model #dataset-jrc-acquis #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### How to use\n\n\nHere is how to use this model to classify legal text written in Cszech in PyTorch:\n\n\nTraining... | [
55,
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48,
46,
34
] | [
"TAGS\n#transformers #pytorch #jax #t5 #text2text-generation #classification Cszech model #dataset-jrc-acquis #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### How to use\n\n\nHere is how to use this model to classify legal text written in Cszech in PyTorch:\n\n\nTraining data\... |
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