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null | null | # w2v with news | {} | Aviora/news2vec | null | [
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#region-us
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text-generation | transformers |
# Eren Yeager DialoGPT Model | {"tags": ["conversational"]} | Awsaf/DialoGPT-medium-eren | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
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"endpoints_compatible",
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#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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text-generation | transformers |
# Eren Yeager Model | {"tags": ["conversational"]} | Awsaf/large-eren | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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text-generation | transformers |
# Rick DialoGPT Model | {"tags": ["conversational"]} | Axcel/DialoGPT-small-rick | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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null | null |
# ResNet
This ResNet18 model was translated from the ONNX ResNetv1 model found
at https://github.com/onnx/models/tree/main/vision/classification/resnet into Axon using [AxonOnnx](https://github.com/elixir-nx/axon_onnx)
The following description is copied from the relevant description at the ONNX repository.
... | {"license": "apache-2.0", "tags": ["Axon", "Elixir"], "datasets": ["ImageNet"]} | Axon/resnet18-v1 | null | [
"Axon",
"Elixir",
"dataset:ImageNet",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [
"1512.03385"
] | [] | TAGS
#Axon #Elixir #dataset-ImageNet #arxiv-1512.03385 #license-apache-2.0 #region-us
|
# ResNet
This ResNet18 model was translated from the ONNX ResNetv1 model found
at URL into Axon using AxonOnnx
The following description is copied from the relevant description at the ONNX repository.
## Use cases
These ResNet models perform image classification - they take images as input and classify the ... | [
"# ResNet\r\n\r\nThis ResNet18 model was translated from the ONNX ResNetv1 model found \r\nat URL into Axon using AxonOnnx\r\nThe following description is copied from the relevant description at the ONNX repository.",
"## Use cases\r\nThese ResNet models perform image classification - they take images as input an... | [
"TAGS\n#Axon #Elixir #dataset-ImageNet #arxiv-1512.03385 #license-apache-2.0 #region-us \n",
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null | null |
# ResNet
This ResNet34 model was translated from the ONNX ResNetv1 model found
at https://github.com/onnx/models/tree/main/vision/classification/resnet into Axon using [AxonOnnx](https://github.com/elixir-nx/axon_onnx)
The following description is copied from the relevant description at the ONNX repository.
... | {"license": "apache-2.0", "tags": ["Axon", "Elixir"], "datasets": ["ImageNet"]} | Axon/resnet34-v1 | null | [
"Axon",
"Elixir",
"dataset:ImageNet",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [
"1512.03385"
] | [] | TAGS
#Axon #Elixir #dataset-ImageNet #arxiv-1512.03385 #license-apache-2.0 #region-us
|
# ResNet
This ResNet34 model was translated from the ONNX ResNetv1 model found
at URL into Axon using AxonOnnx
The following description is copied from the relevant description at the ONNX repository.
## Use cases
These ResNet models perform image classification - they take images as input and classify the ... | [
"# ResNet\r\n\r\nThis ResNet34 model was translated from the ONNX ResNetv1 model found \r\nat URL into Axon using AxonOnnx\r\nThe following description is copied from the relevant description at the ONNX repository.",
"## Use cases\r\nThese ResNet models perform image classification - they take images as input an... | [
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null | null |
# ResNet
This ResNet50 model was translated from the ONNX ResNetv1 model found
at https://github.com/onnx/models/tree/main/vision/classification/resnet into Axon using [AxonOnnx](https://github.com/elixir-nx/axon_onnx)
The following description is copied from the relevant description at the ONNX repository.
... | {"license": "apache-2.0", "tags": ["Axon", "Elixir"], "datasets": ["ImageNet"]} | Axon/resnet50-v1 | null | [
"Axon",
"Elixir",
"dataset:ImageNet",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [
"1512.03385"
] | [] | TAGS
#Axon #Elixir #dataset-ImageNet #arxiv-1512.03385 #license-apache-2.0 #region-us
|
# ResNet
This ResNet50 model was translated from the ONNX ResNetv1 model found
at URL into Axon using AxonOnnx
The following description is copied from the relevant description at the ONNX repository.
## Use cases
These ResNet models perform image classification - they take images as input and classify the ... | [
"# ResNet\r\n\r\nThis ResNet50 model was translated from the ONNX ResNetv1 model found \r\nat URL into Axon using AxonOnnx\r\nThe following description is copied from the relevant description at the ONNX repository.",
"## Use cases\r\nThese ResNet models perform image classification - they take images as input an... | [
"TAGS\n#Axon #Elixir #dataset-ImageNet #arxiv-1512.03385 #license-apache-2.0 #region-us \n",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail d... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "albert_bert_summarization_cnn_dailymail", "results": []}]} | Ayham/albert_bert_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# albert_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
"# albert_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trainin... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# albert_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_daily... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "albert_distilgpt2_summarization_cnn_dailymail", "results": []}]} | Ayham/albert_distilgpt2_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# albert_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# albert_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# albert_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# albert_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Mo... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert_gpt2_Full_summarization_cnndm
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail data... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "albert_gpt2_Full_summarization_cnndm", "results": []}]} | Ayham/albert_gpt2_Full_summarization_cnndm | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# albert_gpt2_Full_summarization_cnndm
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
"# albert_gpt2_Full_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training p... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# albert_gpt2_Full_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"##... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert_large_gpt2_summarization_cnndm
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail dat... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "albert_large_gpt2_summarization_cnndm", "results": []}]} | Ayham/albert_gpt2_summarization_cnndm | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# albert_large_gpt2_summarization_cnndm
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
"# albert_large_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training ... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# albert_large_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert_gpt2_summarization_xsum
This model is a fine-tuned version of [](https://huggingface.co/) on the xsum dataset.
## Model ... | {"tags": ["generated_from_trainer"], "datasets": ["xsum"], "model-index": [{"name": "albert_gpt2_summarization_xsum", "results": []}]} | Ayham/albert_gpt2_summarization_xsum | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us
|
# albert_gpt2_summarization_xsum
This model is a fine-tuned version of [](URL on the xsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
"# albert_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"#... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albert_roberta_new_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dail... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "albert_roberta_new_summarization_cnn_dailymail", "results": []}]} | Ayham/albert_roberta_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# albert_roberta_new_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# albert_roberta_new_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# albert_roberta_new_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail datase... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail dat... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "bert_bert_summarization_cnn_dailymail", "results": []}]} | Ayham/bert_bert_summarization_cnn_dailymail | null | [
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"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# bert_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
"# bert_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training ... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"#... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailyma... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "bert_distilgpt2_summarization_cnn_dailymail", "results": []}]} | Ayham/bert_distilgpt2_summarization_cnn_dailymail | null | [
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"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# bert_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
"# bert_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Tra... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset."... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# bert_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Mode... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_gpt2_summarization_cnndm
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail dataset.
#... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "bert_gpt2_summarization_cnndm", "results": []}]} | Ayham/bert_gpt2_summarization_cnndm | null | [
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"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# bert_gpt2_summarization_cnndm
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
"# bert_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedur... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_gpt2_summarization_cnndm_new
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail dataset... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "bert_gpt2_summarization_cnndm_new", "results": []}]} | Ayham/bert_gpt2_summarization_cnndm_new | null | [
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"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# bert_gpt2_summarization_cnndm_new
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
"# bert_gpt2_summarization_cnndm_new\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proc... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert_gpt2_summarization_cnndm_new\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Mo... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# bert_gpt2_summarization_cnndm_new\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model descript... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_gpt2_summarization_xsum
This model is a fine-tuned version of [](https://huggingface.co/) on the xsum dataset.
## Model de... | {"tags": ["generated_from_trainer"], "datasets": ["xsum"], "model-index": [{"name": "bert_gpt2_summarization_xsum", "results": []}]} | Ayham/bert_gpt2_summarization_xsum | null | [
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"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us
|
# bert_gpt2_summarization_xsum
This model is a fine-tuned version of [](URL on the xsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The... | [
"# bert_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"###... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n\nMore... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail ... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "bert_roberta_summarization_cnn_dailymail", "results": []}]} | Ayham/bert_roberta_summarization_cnn_dailymail | null | [
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"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# bert_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
"# bert_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# bert_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# bert_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model d... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bertgpt2_cnn
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
Mor... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "bertgpt2_cnn", "results": []}]} | Ayham/bertgpt2_cnn | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# bertgpt2_cnn
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyp... | [
"# bertgpt2_cnn\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training hype... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n",
"# bertgpt2_cnn\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n# bertgpt2_cnn\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.## Model description\n\nMore information needed## Intended uses & li... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailyma... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "distilbert_bert_summarization_cnn_dailymail", "results": []}]} | Ayham/distilbert_bert_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
"# distilbert_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Tra... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# distilbert_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset."... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# distilbert_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Mode... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_d... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "distilbert_distilgpt2_summarization_cnn_dailymail", "results": []}]} | Ayham/distilbert_distilgpt2_summarization_cnn_dailymail | null | [
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"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
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"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# distilbert_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# distilbert_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dat... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert_gpt2_summarization_cnndm
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail datas... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "distilbert_gpt2_summarization_cnndm", "results": []}]} | Ayham/distilbert_gpt2_summarization_cnndm | null | [
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"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
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"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert_gpt2_summarization_cnndm
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
"# distilbert_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training pr... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# distilbert_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## ... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# distilbert_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model descri... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert_gpt2_summarization_xsum
This model is a fine-tuned version of [](https://huggingface.co/) on the xsum dataset.
## Mo... | {"tags": ["generated_from_trainer"], "datasets": ["xsum"], "model-index": [{"name": "distilbert_gpt2_summarization_xsum", "results": []}]} | Ayham/distilbert_gpt2_summarization_xsum | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert_gpt2_summarization_xsum
This model is a fine-tuned version of [](URL on the xsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
"# distilbert_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us \n",
"# distilbert_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us \n# distilbert_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.## Model description\n\nMore infor... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dail... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "distilbert_roberta_summarization_cnn_dailymail", "results": []}]} | Ayham/distilbert_roberta_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# distilbert_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# distilbert_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# distilbert_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail datase... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# distilbert_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## M... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ernie_gpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail da... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "ernie_gpt2_summarization_cnn_dailymail", "results": []}]} | Ayham/ernie_gpt2_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# ernie_gpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
"# ernie_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# ernie_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# ernie_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model des... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail ... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "roberta_bert_summarization_cnn_dailymail", "results": []}]} | Ayham/roberta_bert_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# roberta_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
"# roberta_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# roberta_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model d... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dail... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "roberta_distilgpt2_summarization_cnn_dailymail", "results": []}]} | Ayham/roberta_distilgpt2_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# roberta_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# roberta_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail datase... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# roberta_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## M... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta_gpt2_new_max64_summarization_cnndm
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymai... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "roberta_gpt2_new_max64_summarization_cnndm", "results": []}]} | Ayham/roberta_gpt2_new_max64_summarization_cnndm | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# roberta_gpt2_new_max64_summarization_cnndm
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# roberta_gpt2_new_max64_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta_gpt2_new_max64_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# roberta_gpt2_new_max64_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta_gpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail ... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "roberta_gpt2_summarization_cnn_dailymail", "results": []}]} | Ayham/roberta_gpt2_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# roberta_gpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
This model uses RoBerta encoder and GPT2 decoder and fine-tuned on the summarization task. It got Rouge scores as follows:
Rouge1= 35.886
Rouge2= 16.292
RougeL= 23.499
## In... | [
"# roberta_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\nThis model uses RoBerta encoder and GPT2 decoder and fine-tuned on the summarization task. It got Rouge scores as follows:\n\nRouge1= 35.886\n\nRouge2= 16.292\n\nRouge... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# roberta_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model d... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta_gpt2_summarization_xsum
This model is a fine-tuned version of [](https://huggingface.co/) on the xsum dataset.
## Model... | {"tags": ["generated_from_trainer"], "datasets": ["xsum"], "model-index": [{"name": "roberta_gpt2_summarization_xsum", "results": []}]} | Ayham/roberta_gpt2_summarization_xsum | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us
|
# roberta_gpt2_summarization_xsum
This model is a fine-tuned version of [](URL on the xsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
"# roberta_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n\nM... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us \n# roberta_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.## Model description\n\nMore informat... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailyma... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "roberta_roberta_summarization_cnn_dailymail", "results": []}]} | Ayham/roberta_roberta_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# roberta_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
"# roberta_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Tra... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# roberta_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset."... | [
52,
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9,
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# roberta_roberta_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Mode... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robertagpt2_cnn
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "robertagpt2_cnn", "results": []}]} | Ayham/robertagpt2_cnn | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# robertagpt2_cnn
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following ... | [
"# robertagpt2_cnn\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training h... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n",
"# robertagpt2_cnn\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robertagpt2_xsum
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "robertagpt2_xsum", "results": []}]} | Ayham/robertagpt2_xsum | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# robertagpt2_xsum
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following... | [
"# robertagpt2_xsum\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training ... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n",
"# robertagpt2_xsum\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robertagpt2_xsum2
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "robertagpt2_xsum2", "results": []}]} | Ayham/robertagpt2_xsum2 | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# robertagpt2_xsum2
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The followin... | [
"# robertagpt2_xsum2\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n",
"# robertagpt2_xsum2\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robertagpt2_xsum4
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "robertagpt2_xsum4", "results": []}]} | Ayham/robertagpt2_xsum4 | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# robertagpt2_xsum4
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The followin... | [
"# robertagpt2_xsum4\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n",
"# robertagpt2_xsum4\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmroberta_gpt2_summarization_xsum
This model is a fine-tuned version of [](https://huggingface.co/) on the xsum dataset.
## Mo... | {"tags": ["generated_from_trainer"], "datasets": ["xsum"], "model-index": [{"name": "xlmroberta_gpt2_summarization_xsum", "results": []}]} | Ayham/xlmroberta_gpt2_summarization_xsum | null | [
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"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us
|
# xlmroberta_gpt2_summarization_xsum
This model is a fine-tuned version of [](URL on the xsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
"# xlmroberta_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
... | [
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"# xlmroberta_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlmroberta_large_gpt2_summarization_cnndm
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "xlmroberta_large_gpt2_summarization_cnndm", "results": []}]} | Ayham/xlmroberta_large_gpt2_summarization_cnndm | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# xlmroberta_large_gpt2_summarization_cnndm
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
"# xlmroberta_large_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Train... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# xlmroberta_large_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
... | [
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# xlmroberta_large_gpt2_summarization_cnndm\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model ... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlnet_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail da... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "xlnet_bert_summarization_cnn_dailymail", "results": []}]} | Ayham/xlnet_bert_summarization_cnn_dailymail | null | [
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"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# xlnet_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
"# xlnet_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# xlnet_bert_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlnet_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailym... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "xlnet_distilgpt2_summarization_cnn_dailymail", "results": []}]} | Ayham/xlnet_distilgpt2_summarization_cnn_dailymail | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# xlnet_distilgpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
"# xlnet_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Tr... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# xlnet_distilgpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlnet_gpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail da... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "xlnet_gpt2_summarization_cnn_dailymail", "results": []}]} | Ayham/xlnet_gpt2_summarization_cnn_dailymail | null | [
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"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:cnn_dailymail",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us
|
# xlnet_gpt2_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
"# xlnet_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n",
"# xlnet_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.",
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"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-cnn_dailymail #autotrain_compatible #endpoints_compatible #region-us \n# xlnet_gpt2_summarization_cnn_dailymail\n\nThis model is a fine-tuned version of [](URL on the cnn_dailymail dataset.## Model des... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlnet_gpt2_summarization_xsum
This model is a fine-tuned version of [](https://huggingface.co/) on the xsum dataset.
## Model d... | {"tags": ["generated_from_trainer"], "datasets": ["xsum"], "model-index": [{"name": "xlnet_gpt2_summarization_xsum", "results": []}]} | Ayham/xlnet_gpt2_summarization_xsum | null | [
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"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us
|
# xlnet_gpt2_summarization_xsum
This model is a fine-tuned version of [](URL on the xsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
Th... | [
"# xlnet_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"##... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #dataset-xsum #autotrain_compatible #endpoints_compatible #region-us \n",
"# xlnet_gpt2_summarization_xsum\n\nThis model is a fine-tuned version of [](URL on the xsum dataset.",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlnet_gpt_xsum
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
M... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "xlnet_gpt_xsum", "results": []}]} | Ayham/xlnet_gpt_xsum | null | [
"transformers",
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# xlnet_gpt_xsum
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following h... | [
"# xlnet_gpt_xsum\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training hy... | [
"TAGS\n#transformers #pytorch #tensorboard #encoder-decoder #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us \n",
"# xlnet_gpt_xsum\n\nThis model is a fine-tuned version of [](URL on an unknown dataset.",
"## Model description\n\nMore information needed",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlnet_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail... | {"tags": ["generated_from_trainer"], "datasets": ["cnn_dailymail"], "model-index": [{"name": "xlnet_roberta_summarization_cnn_dailymail", "results": []}]} | Ayham/xlnet_roberta_summarization_cnn_dailymail | null | [
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|
# xlnet_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](URL on the cnn_dailymail dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlnetgpt2_xsum7
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "xlnetgpt2_xsum7", "results": []}]} | Ayham/xlnetgpt2_xsum7 | null | [
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# xlnetgpt2_xsum7
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following ... | [
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text-generation | transformers |
#Ayjayo | {"tags": ["conversational"]} | Ayjayo/DialoGPT-medium-AyjayoAI | null | [
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fill-mask | transformers | 在2.5亿的中文语料上，进行mobie_bert进行预训练。在单卡-A100下迭代100万 steps,训练15天。 | {"license": "apache-2.0"} | Ayou/chinese_mobile_bert | null | [
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text-generation | transformers |
#DialoGPT medium model (Harry Potter 1-3) | {"tags": ["conversational"]} | Ayran/DialoGPT-medium-harry-potter-1-through-3 | null | [
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text-generation | transformers |
#DialoGPT medium model (Based on Harry Potter 1 through 4 plus 6, 18 epochs) | {"tags": ["conversational"]} | Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6-e18 | null | [
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text-generation | transformers |
#DialoGPT medium model (Harry Potter 1 through 4 plus 6) | {"tags": ["conversational"]} | Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6 | null | [
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text-generation | transformers |
# Gandalf DialoGPT Model | {"tags": ["conversational"]} | Ayran/DialoGPT-small-gandalf | null | [
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text-generation | transformers |
# Harry Potter DialoGPT small Model (Movies 1 through 3) | {"tags": ["conversational"]} | Ayran/DialoGPT-small-harry-potter-1-through-3 | null | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai-club-inductions-21-nlp-ALBERT
This model was trained from scratch on an unknown dataset.
## Model description
More informat... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "ai-club-inductions-21-nlp-ALBERT", "results": []}]} | AyushPJ/ai-club-inductions-21-nlp-ALBERT | null | [
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"albert",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #albert #question-answering #generated_from_trainer #endpoints_compatible #region-us
|
# ai-club-inductions-21-nlp-ALBERT
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai-club-inductions-21-nlp-ELECTRA-base-squad
This model is the deepset/electra-base-squad2 pre-trained model trained on data fro... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "ai-club-inductions-21-nlp-ELECTRA-base-squad", "results": []}]} | AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad | null | [
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#transformers #pytorch #electra #question-answering #generated_from_trainer #endpoints_compatible #region-us
|
# ai-club-inductions-21-nlp-ELECTRA-base-squad
This model is the deepset/electra-base-squad2 pre-trained model trained on data from AI Inductions 21 NLP competition (URL for extractive QA.
## Model description
More information needed
## Intended uses & limitations
AI Inductions 21 NLP competition
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai-club-inductions-21-nlp-XLNet
This model was trained from scratch on an unknown dataset.
## Model description
More informati... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "ai-club-inductions-21-nlp-XLNet", "results": []}]} | AyushPJ/ai-club-inductions-21-nlp-XLNet | null | [
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#transformers #pytorch #xlnet #question-answering #generated_from_trainer #endpoints_compatible #region-us
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# ai-club-inductions-21-nlp-XLNet
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fol... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai-club-inductions-21-nlp-distilBERT
This model was trained from scratch on an unknown dataset.
## Model description
More info... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "ai-club-inductions-21-nlp-distilBERT", "results": []}]} | AyushPJ/ai-club-inductions-21-nlp-distilBERT | null | [
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# ai-club-inductions-21-nlp-distilBERT
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
Th... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai-club-inductions-21-nlp-roBERTa-base-squad-v2
This model was trained from scratch on an unknown dataset.
## Model description... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "ai-club-inductions-21-nlp-roBERTa-base-squad-v2", "results": []}]} | AyushPJ/ai-club-inductions-21-nlp-roBERTa-base-squad-v2 | null | [
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"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
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#transformers #pytorch #roberta #question-answering #generated_from_trainer #endpoints_compatible #region-us
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# ai-club-inductions-21-nlp-roBERTa-base-squad-v2
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpar... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai-club-inductions-21-nlp-roBERTa
This model was trained from scratch on an unknown dataset.
## Model description
More informa... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "ai-club-inductions-21-nlp-roBERTa", "results": []}]} | AyushPJ/ai-club-inductions-21-nlp-roBERTa | null | [
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"region:us"
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#transformers #pytorch #roberta #question-answering #generated_from_trainer #endpoints_compatible #region-us
|
# ai-club-inductions-21-nlp-roBERTa
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test-squad-trained-finetuned-squad
This model was trained from scratch on the squad dataset.
## Model description
More informa... | {"tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "test-squad-trained-finetuned-squad", "results": []}]} | AyushPJ/test-squad-trained-finetuned-squad | null | [
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"generated_from_trainer",
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"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #dataset-squad #endpoints_compatible #region-us
|
# test-squad-trained-finetuned-squad
This model was trained from scratch on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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text-generation | transformers | # Echidona DialoGPT-Medium Model | {"tags": ["conversational"]} | Azuris/DialoGPT-medium-envy | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Echidona DialoGPT-Medium Model | [
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text-generation | transformers |
# Echidona DialoGPT Model | {"tags": ["conversational"]} | Azuris/DialoGPT-small-envy | null | [
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"gpt2",
"text-generation",
"conversational",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# Echidona DialoGPT Model | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["matthews_correlation"], "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "ar... | BAHIJA/distilbert-base-uncased-finetuned-cola | null | [
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| distilbert-base-uncased-finetuned-cola
======================================
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7371
* Matthews Correlation: 0.5481
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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text2text-generation | transformers |
[Paper](https://hlt.bme.hu/en/publ/foszt2oszt)
We publish an abstractive summarizer for Hungarian, an
encoder-decoder model initialized with [huBERT](huggingface.co/SZTAKI-HLT/hubert-base-cc), and fine-tuned on the
[ELTE.DH](https://elte-dh.hu/) corpus of former Hungarian news portals. The model produces fluent outpu... | {"language": "hu", "metrics": "rouge"} | BME-TMIT/foszt2oszt | null | [
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|
Paper
We publish an abstractive summarizer for Hungarian, an
encoder-decoder model initialized with huBERT, and fine-tuned on the
ELTE.DH corpus of former Hungarian news portals. The model produces fluent output in the correct topic, but it hallucinates frequently.
Our quantitative evaluation on automatic and human t... | [] | [
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fill-mask | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/RoBERTalex
# Spanish Legal-domain RoBERTa
There are few models trained for the Spanish language. Some of the models have been trained with a low resource, unclean corpora. The ones derived fr... | {"language": ["es"], "license": "apache-2.0", "tags": ["legal", "spanish"], "datasets": ["legal_ES", "temu_legal"], "metrics": ["ppl"], "widget": [{"text": "La ley fue <mask> finalmente."}, {"text": "El Tribunal <mask> desestim\u00f3 el recurso de amparo."}, {"text": "Hay base legal dentro del marco <mask> actual."}]} | BSC-LT/RoBERTalex | null | [
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|
️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
# Spanish Legal-domain RoBERTa
There are few models trained for the Spanish language. Some of the models have been trained with a low resource, unclean corpora. The ones derived from the Spanish National Plan for Language Technolo... | [
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text-generation | transformers |
# GPT2-large trained with data from National Library of Spain (BNE)
## Model Description
GPT2-large-bne is a transformer-based model for the Spanish language. It is based on the [GPT-2](http://www.persagen.com/files/misc/radford2019language.pdf) model and has been pre-trained using the largest Spanish corpus known to... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne"], "datasets": ["bne"], "metrics": ["ppl"]} | BSC-LT/gpt2-large-bne | null | [
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| GPT2-large trained with data from National Library of Spain (BNE)
=================================================================
Model Description
-----------------
GPT2-large-bne is a transformer-based model for the Spanish language. It is based on the GPT-2 model and has been pre-trained using the largest Span... | [] | [
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fill-mask | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-clinical-es
# Biomedical-clinical language model for Spanish
Biomedical pretrained language model for Spanish. For more details about the corpus, the pretraining and th... | {"language": ["es"], "license": "apache-2.0", "tags": ["biomedical", "clinical", "spanish"], "metrics": ["ppl"], "widget": [{"text": "El \u00fanico antecedente personal a rese\u00f1ar era la <mask> arterial."}, {"text": "Las radiolog\u00edas \u00f3seas de cuerpo entero no detectan alteraciones <mask>, ni alteraciones v... | BSC-LT/roberta-base-biomedical-clinical-es | null | [
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| ️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
Biomedical-clinical language model for Spanish
==============================================
Biomedical pretrained language model for Spanish. For more details about the corpus, the pretraining and the evaluation, check the offi... | [] | [
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] |
fill-mask | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-biomedical-es
# Biomedical language model for Spanish
Biomedical pretrained language model for Spanish. For more details about the corpus, the pretraining and the evaluation, chec... | {"language": ["es"], "license": "apache-2.0", "tags": ["biomedical", "spanish"], "metrics": ["ppl"], "widget": [{"text": "El \u00fanico antecedente personal a rese\u00f1ar era la <mask> arterial."}, {"text": "Las radiolog\u00edas \u00f3seas de cuerpo entero no detectan alteraciones <mask>, ni alteraciones vertebrales."... | BSC-LT/roberta-base-biomedical-es | null | [
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| ️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
Biomedical language model for Spanish
=====================================
Biomedical pretrained language model for Spanish. For more details about the corpus, the pretraining and the evaluation, check the official repository an... | [] | [
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token-classification | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-capitel-ner-plus
# Spanish RoBERTa-base trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
RoBERTa-base-bne is a transformer-based masked language mo... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne", "capitel", "ner"], "datasets": ["bne", "capitel"], "metrics": ["f1"], "inference": {"parameters": {"aggregation_strategy": "first"}}} | BSC-LT/roberta-base-bne-capitel-ner-plus | null | [
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|
️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
# Spanish RoBERTa-base trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
RoBERTa-base-bne is a transformer-based masked language model for the Spanish language. It is based on the RoBERTa base model and h... | [
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token-classification | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-capitel-ner
# Spanish RoBERTa-base trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
RoBERTa-base-bne is a transformer-based masked language model f... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne", "capitel", "ner"], "datasets": ["bne", "capitel"], "metrics": ["f1"]} | BSC-LT/roberta-base-bne-capitel-ner | null | [
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|
️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
# Spanish RoBERTa-base trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
RoBERTa-base-bne is a transformer-based masked language model for the Spanish language. It is based on the RoBERTa base model and h... | [
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token-classification | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-capitel-pos
# Spanish RoBERTa-base trained on BNE finetuned for CAPITEL Part of Speech (POS) dataset
RoBERTa-base-bne is a transformer-based masked language model for the Span... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne", "capitel", "pos"], "datasets": ["bne", "capitel"], "metrics": ["f1"], "widget": [{"text": "Festival de San Sebasti\u00e1n: Johnny Depp recibir\u00e1 el premio Donostia en pleno rifirrafe judicial con Amber Heard"}, {"t... | BSC-LT/roberta-base-bne-capitel-pos | null | [
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|
️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
# Spanish RoBERTa-base trained on BNE finetuned for CAPITEL Part of Speech (POS) dataset
RoBERTa-base-bne is a transformer-based masked language model for the Spanish language. It is based on the RoBERTa base model and has been pre... | [
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question-answering | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac
# Spanish RoBERTa-base trained on BNE finetuned for Spanish Question Answering Corpus (SQAC) dataset.
RoBERTa-base-bne is a transformer-based masked language model for th... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne", "qa", "question answering"], "datasets": ["BSC-TeMU/SQAC"], "metrics": ["f1"]} | BSC-LT/roberta-base-bne-sqac | null | [
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|
️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
# Spanish RoBERTa-base trained on BNE finetuned for Spanish Question Answering Corpus (SQAC) dataset.
RoBERTa-base-bne is a transformer-based masked language model for the Spanish language. It is based on the RoBERTa base model and... | [
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fill-mask | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne
# RoBERTa base trained with data from National Library of Spain (BNE)
## Model Description
RoBERTa-base-bne is a transformer-based masked language model for the Spanish langu... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne"], "datasets": ["bne"], "metrics": ["ppl"], "widget": [{"text": "Este a\u00f1o las campanadas de La Sexta las presentar\u00e1 <mask>."}, {"text": "David Broncano es un presentador de La <mask>."}, {"text": "Gracias a los... | BSC-LT/roberta-base-bne | null | [
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| ️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
RoBERTa base trained with data from National Library of Spain (BNE)
===================================================================
Model Description
-----------------
RoBERTa-base-bne is a transformer-based masked language... | [] | [
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] |
fill-mask | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-ca
# BERTa: RoBERTa-based Catalan language model
## BibTeX citation
If you use any of these resources (datasets or models) in your work, please cite our latest paper:
```bibte... | {"language": "ca", "license": "apache-2.0", "tags": ["masked-lm", "BERTa", "catalan"], "widget": [{"text": "El Catal\u00e0 \u00e9s una llengua molt <mask>."}, {"text": "Salvador Dal\u00ed va viure a <mask>."}, {"text": "La Costa Brava t\u00e9 les millors <mask> d'Espanya."}, {"text": "El cacaolat \u00e9s un batut de <m... | BSC-LT/roberta-base-ca | null | [
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"pytorch",
"roberta",
"fill-mask",
"masked-lm",
"BERTa",
"catalan",
"ca",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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#transformers #pytorch #roberta #fill-mask #masked-lm #BERTa #catalan #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
BERTa: RoBERTa-based Catalan language model
===========================================
BibTeX citation
---------------
If you use any of these resources (datasets or models) in your work, please cite our latest paper:
Model ... | [] | [
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token-classification | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-capitel-ner
# Spanish RoBERTa-large trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
RoBERTa-large-bne is a transformer-based masked language mode... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne", "capitel", "ner"], "datasets": ["bne", "capitel"], "metrics": ["f1"]} | BSC-LT/roberta-large-bne-capitel-ner | null | [
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"arxiv:1907.11692",
"arxiv:2107.07253",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"regi... | null | 2022-03-02T23:29:04+00:00 | [
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|
️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
# Spanish RoBERTa-large trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.
RoBERTa-large-bne is a transformer-based masked language model for the Spanish language. It is based on the RoBERTa large model an... | [
"# Spanish RoBERTa-large trained on BNE finetuned for CAPITEL Named Entity Recognition (NER) dataset.\nRoBERTa-large-bne is a transformer-based masked language model for the Spanish language. It is based on the RoBERTa large model and has been pre-trained using the largest Spanish corpus known to date, with a total... | [
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token-classification | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-capitel-pos
# Spanish RoBERTa-large trained on BNE finetuned for CAPITEL Part of Speech (POS) dataset
RoBERTa-large-bne is a transformer-based masked language model for the S... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne", "capitel", "pos"], "datasets": ["bne", "capitel"], "metrics": ["f1"], "widget": [{"text": "Festival de San Sebasti\u00e1n: Johnny Depp recibir\u00e1 el premio Donostia en pleno rifirrafe judicial con Amber Heard"}, {"t... | BSC-LT/roberta-large-bne-capitel-pos | null | [
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|
️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
# Spanish RoBERTa-large trained on BNE finetuned for CAPITEL Part of Speech (POS) dataset
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question-answering | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-sqac
# Spanish RoBERTa-large trained on BNE finetuned for Spanish Question Answering Corpus (SQAC) dataset.
RoBERTa-large-bne is a transformer-based masked language model for... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne", "qa", "question answering"], "datasets": ["BSC-TeMU/SQAC"], "metrics": ["f1"]} | BSC-LT/roberta-large-bne-sqac | null | [
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|
️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
# Spanish RoBERTa-large trained on BNE finetuned for Spanish Question Answering Corpus (SQAC) dataset.
RoBERTa-large-bne is a transformer-based masked language model for the Spanish language. It is based on the RoBERTa large model ... | [
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fill-mask | transformers |
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne
# RoBERTa large trained with data from National Library of Spain (BNE)
## Model Description
RoBERTa-large-bne is a transformer-based masked language model for the Spanish la... | {"language": ["es"], "license": "apache-2.0", "tags": ["national library of spain", "spanish", "bne"], "datasets": ["bne"], "metrics": ["ppl"], "widget": [{"text": "Este a\u00f1o las campanadas de La Sexta las <mask> Pedroche y Chicote."}, {"text": "El artista Antonio Orozco es un colaborador de La <mask>."}, {"text": ... | BSC-LT/roberta-large-bne | null | [
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| ️NOTICE️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED: URL
RoBERTa large trained with data from National Library of Spain (BNE)
====================================================================
Model Description
-----------------
RoBERTa-large-bne is a transformer-based masked langu... | [] | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-base-timit-demo-colab
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "wav2vec2-base-timit-demo-colab", "results": []}]} | BSen/wav2vec2-base-timit-demo-colab | null | [
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"generated_from_trainer",
"license:apache-2.0",
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"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us
| wav2vec2-base-timit-demo-colab
==============================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4877
* Wer: 0.4895
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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"TAGS\n#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* e... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-large-xls-r-300m-turkish-colab
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice"], "model-index": [{"name": "wav2vec2-large-xls-r-300m-turkish-colab", "results": []}]} | BSen/wav2vec2-large-xls-r-300m-turkish-colab | null | [
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"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice #license-apache-2.0 #endpoints_compatible #region-us
|
# wav2vec2-large-xls-r-300m-turkish-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
# Rick DialoGPT Model | {"tags": ["conversational"]} | BW/TEST | null | [
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] |
text2text-generation | transformers | [](https://paperswithcode.com/sota/relation-extraction-on-nyt?p=rebel-relation-extraction-by-end-to-end)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithco... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["seq2seq", "relation-extraction"], "datasets": ["Babelscape/rebel-dataset"], "widget": [{"text": "Punta Cana is a resort town in the municipality of Higuey, in La Altagracia Province, the eastern most province of the Dominican Republic"}], "model-index": [{"na... | Babelscape/rebel-large | null | [
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] | null | 2022-03-02T23:29:04+00:00 | [] | [
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| ![PWC](URL
![PWC](URL
![PWC](URL
![PWC](URL
![PWC](URL
## Multilingual update! Check mREBEL, a multilingual version covering more relation types, languages and including entity types.
# REBEL <img src="https://i.URL width="30" alt="hf-rebel" border="0" style="display:inline; white-space:nowrap;">: Relation Extraction... | [
"## Multilingual update! Check mREBEL, a multilingual version covering more relation types, languages and including entity types.",
"# REBEL <img src=\"https://i.URL width=\"30\" alt=\"hf-rebel\" border=\"0\" style=\"display:inline; white-space:nowrap;\">: Relation Extraction By End-to-end Language generation\nTh... | [
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token-classification | transformers |
# WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER
This is the model card for the EMNLP 2021 paper [WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER](https://aclanthology.org/2021.findings-emnlp.215/). We fine-tuned a multilingual langua... | {"language": ["de", "en", "es", "fr", "it", "nl", "pl", "pt", "ru", "multilingual"], "license": ["cc-by-nc-sa-4.0"], "tags": ["named-entity-recognition", "sequence-tagger-model"], "datasets": ["Babelscape/wikineural"], "annotations_creators": ["machine-generated"], "language_creators": ["machine-generated"], "widget": ... | Babelscape/wikineural-multilingual-ner | null | [
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"aut... | null | 2022-03-02T23:29:04+00:00 | [] | [
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|
# WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER
This is the model card for the EMNLP 2021 paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER. We fine-tuned a multilingual language model (mBERT) for 3 epochs on our WikiNEuRal datas... | [
"# WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER\nThis is the model card for the EMNLP 2021 paper WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER. We fine-tuned a multilingual language model (mBERT) for 3 epochs on our WikiNEuRal ... | [
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text-generation | transformers |
#Anika Bot | {"tags": ["conversational"]} | Backedman/DialoGPT-small-Anika | null | [
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automatic-speech-recognition | transformers |
Dataset used for training:
- Name: Common Voice
- Language: Indonesian [id]
- Version: 6.1
Test WER: 19.3 %
Contact:
bagus@ep.its.ac.id | {"language": "el", "license": "apache-2.0", "tags": ["audio", "automatic-speech-recognition", "speech", "bahasa-indonesia"], "datasets": ["common_voice_id_6.1"]} | Bagus/wav2vec2-large-xlsr-bahasa-indonesia | null | [
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|
Dataset used for training:
- Name: Common Voice
- Language: Indonesian [id]
- Version: 6.1
Test WER: 19.3 %
Contact:
bagus@URL | [] | [
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] |
audio-classification | transformers |
~~~
# requirement packages
!pip install git+https://github.com/huggingface/datasets.git
!pip install git+https://github.com/huggingface/transformers.git
!pip install torchaudio
!pip install librosa
!git clone https://github.com/m3hrdadfi/soxan
cd soxan
~~~
# prediction
~~~
import torch
import torch.nn as nn
import ... | {"language": "el", "license": "apache-2.0", "tags": ["audio", "audio-classification", "speech"], "datasets": ["aesdd"]} | Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition | null | [
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"el",
"dataset:aesdd",
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"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"el"
] | TAGS
#transformers #pytorch #tensorboard #wav2vec2 #audio #audio-classification #speech #el #dataset-aesdd #license-apache-2.0 #endpoints_compatible #region-us
|
~~~
# requirement packages
!pip install git+URL
!pip install git+URL
!pip install torchaudio
!pip install librosa
!git clone URL
cd soxan
~~~
# prediction
~~~
import torch
import URL as nn
import URL.functional as F
import torchaudio
from transformers import AutoConfig, Wav2Vec2FeatureExtractor
import librosa
impo... | [
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audio-classification | transformers |
This is for (private) DEMO only. | {"language": "ja", "tags": ["audio", "audio-classification", "speech", "speech-emotion-recognition"], "datasets": ["jtes"]} | Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition | null | [
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text-generation | transformers |
Harry Potter DialoGPT Model | {"tags": ["conversational"]} | BalajiSathesh/DialoGPT-small-harrypotter | null | [
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Harry Potter DialoGPT Model | [] | [
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text2text-generation | transformers | **Dataset**
ToTTo is an open-domain English Table-to-Text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table, a set of highlighted table cells, page title and section title as inputs, it produces a one-sentence description summarising the key details from th... | {} | Barkavi/t5base_totto | null | [
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"t5",
"text2text-generation",
"autotrain_compatible",
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] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Dataset
ToTTo is an open-domain English Table-to-Text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table, a set of highlighted table cells, page title and section title as inputs, it produces a one-sentence description summarising the key details from the in... | [] | [
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fill-mask | transformers |
# Hello hugging face | {"language": "en", "license": "apache-2.0", "tags": ["exbert"], "datasets": ["bookcorpus", "wikipedia"]} | Barytes/hellohf | null | [
"transformers",
"tf",
"bert",
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"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [
"en"
] | TAGS
#transformers #tf #bert #fill-mask #exbert #en #dataset-bookcorpus #dataset-wikipedia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Hello hugging face | [
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text-generation | transformers |
# Bella Swan DialoGPT model | {"tags": ["conversational"]} | Batsy24/DialoGPT-medium-Twilight_BellaBot | null | [
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"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
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text-generation | transformers |
# Twilight Edward DialoGPT Model | {"tags": ["conversational"]} | Batsy24/DialoGPT-small-Twilight_EdBot | null | [
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"gpt2",
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"autotrain_compatible",
"endpoints_compatible",
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|
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question-answering | transformers |
# DistilBERT with a second step of distillation
## Model description
This model replicates the "DistilBERT (D)" model from Table 2 of the [DistilBERT paper](https://arxiv.org/pdf/1910.01108.pdf). In this approach, a DistilBERT student is fine-tuned on SQuAD v1.1, but with a BERT model (also fine-tuned on SQuAD v1.1)... | {"language": ["en"], "license": "apache-2.0", "tags": ["question-answering"], "datasets": ["squad"], "metrics": ["squad"], "thumbnail": "https://github.com/karanchahal/distiller/blob/master/distiller.jpg"} | BatuhanYilmaz/distilbert-base-uncased-finetuned-squad-d5716d28 | null | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [
"1910.01108"
] | [
"en"
] | TAGS
#transformers #pytorch #distilbert #fill-mask #question-answering #en #dataset-squad #arxiv-1910.01108 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| DistilBERT with a second step of distillation
=============================================
Model description
-----------------
This model replicates the "DistilBERT (D)" model from Table 2 of the DistilBERT paper. In this approach, a DistilBERT student is fine-tuned on SQuAD v1.1, but with a BERT model (also fine-... | [
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] |
fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dummy-model
This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It ac... | {"license": "mit", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "dummy-model", "results": []}]} | BatuhanYilmaz/dummy-model | null | [
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"tf",
"camembert",
"fill-mask",
"generated_from_keras_callback",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #tf #camembert #fill-mask #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# dummy-model
This model is a fine-tuned version of camembert-base on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore inf... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#
This model is a fine-tuned version of [./checkpoint-10500](https://huggingface.co/./checkpoint-10500) on the COMMON_VOICE - TR ... | {"language": ["tr"], "tags": ["automatic-speech-recognition", "common_voice", "generated_from_trainer"], "datasets": ["common_voice"], "model-index": [{"name": "", "results": []}]} | Baybars/wav2vec2-xls-r-1b-turkish | null | [
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"endpoints_compatible",
"region:us"
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#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #common_voice #generated_from_trainer #tr #dataset-common_voice #endpoints_compatible #region-us
|
This model is a fine-tuned version of ./checkpoint-10500 on the COMMON\_VOICE - TR dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7540
* Wer: 0.4647
* Cer: 0.1318
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.999,0.9999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 120.0\n* mixed... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on th... | {"language": ["tr"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "common_voice", "generated_from_trainer", "hf-asr-leaderboard", "robust-speech-event", "tr"], "datasets": ["common_voice"], "model-index": [{"name": "", "results": []}]} | Baybars/wav2vec2-xls-r-300m-cv8-turkish | null | [
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|
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the COMMON\_VOICE - TR dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4164
* Wer: 0.3098
* Cer: 0.0764
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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text2text-generation | transformers | # Query Generation
This model is the t5-base model from [docTTTTTquery](https://github.com/castorini/docTTTTTquery).
The T5-base model was trained on the [MS MARCO Passage Dataset](https://github.com/microsoft/MSMARCO-Passage-Ranking), which consists of about 500k real search queries from Bing together with the releva... | {} | BeIR/query-gen-msmarco-t5-base-v1 | null | [
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"pytorch",
"jax",
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"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Query Generation
This model is the t5-base model from docTTTTTquery.
The T5-base model was trained on the MS MARCO Passage Dataset, which consists of about 500k real search queries from Bing together with the relevant passage.
The model can be used for query generation to learn semantic search models without requir... | [
"# Query Generation\nThis model is the t5-base model from docTTTTTquery.\n\nThe T5-base model was trained on the MS MARCO Passage Dataset, which consists of about 500k real search queries from Bing together with the relevant passage.\n\nThe model can be used for query generation to learn semantic search models with... | [
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text2text-generation | transformers | # Query Generation
This model is the t5-base model from [docTTTTTquery](https://github.com/castorini/docTTTTTquery).
The T5-base model was trained on the [MS MARCO Passage Dataset](https://github.com/microsoft/MSMARCO-Passage-Ranking), which consists of about 500k real search queries from Bing together with the releva... | {} | BeIR/query-gen-msmarco-t5-large-v1 | null | [
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"jax",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #jax #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Query Generation
This model is the t5-base model from docTTTTTquery.
The T5-base model was trained on the MS MARCO Passage Dataset, which consists of about 500k real search queries from Bing together with the relevant passage.
The model can be used for query generation to learn semantic search models without requir... | [
"# Query Generation\nThis model is the t5-base model from docTTTTTquery.\n\nThe T5-base model was trained on the MS MARCO Passage Dataset, which consists of about 500k real search queries from Bing together with the relevant passage.\n\nThe model can be used for query generation to learn semantic search models with... | [
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feature-extraction | transformers | # SPARTA
Re-Implementation of [SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval](https://arxiv.org/abs/2009.13013). It is the re-implementation we used for [BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models](https://arxiv.org/abs/2104.08663... | {} | BeIR/sparta-msmarco-distilbert-base-v1 | null | [
"transformers",
"pytorch",
"distilbert",
"feature-extraction",
"arxiv:2009.13013",
"arxiv:2104.08663",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [
"2009.13013",
"2104.08663"
] | [] | TAGS
#transformers #pytorch #distilbert #feature-extraction #arxiv-2009.13013 #arxiv-2104.08663 #endpoints_compatible #region-us
| # SPARTA
Re-Implementation of SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval. It is the re-implementation we used for BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.
Also have a look at our BEIR repository: URL
Have a look at URL fo... | [
"# SPARTA\nRe-Implementation of SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval. It is the re-implementation we used for BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.\n\nAlso have a look at our BEIR repository: URL\n\n\nHave a loo... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["matthews_correlation"], "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "ar... | BearThreat/distilbert-base-uncased-finetuned-cola | null | [
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"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-cola
======================================
This model is a fine-tuned version of distilbert-base-uncased on the glue dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5774
* Matthews Correlation: 0.5332
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #dataset-glue #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
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text-generation | transformers |
# Cartman Southpark DialoGPT2 small 18 epochs | {"tags": ["conversational"]} | Bee-Garbs/DialoGPT-real-cartman-small | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Cartman Southpark DialoGPT2 small 18 epochs | [
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] |
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