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summarization | transformers |
### Usage
This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transformers/model_doc/bart.html?#transformers.BartForConditionalGeneration) for more information.
### Metrics for DistilBART models
| Model Name | MM Params |... | {"language": "en", "license": "apache-2.0", "tags": ["summarization"], "datasets": ["cnn_dailymail", "xsum"], "thumbnail": "https://huggingface.co/front/thumbnails/distilbart_medium.png"} | sshleifer/distilbart-xsum-12-1 | null | [
"transformers",
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"text2text-generation",
"summarization",
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"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
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| ### Usage
This checkpoint should be loaded into 'BartForConditionalGeneration.from\_pretrained'. See the BART docs for more information.
### Metrics for DistilBART models
| [
"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. See the BART docs for more information.",
"### Metrics for DistilBART models"
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"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. ... |
summarization | transformers |
### Usage
This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transformers/model_doc/bart.html?#transformers.BartForConditionalGeneration) for more information.
### Metrics for DistilBART models
| Model Name | MM Params |... | {"language": "en", "license": "apache-2.0", "tags": ["summarization"], "datasets": ["cnn_dailymail", "xsum"], "thumbnail": "https://huggingface.co/front/thumbnails/distilbart_medium.png"} | sshleifer/distilbart-xsum-12-3 | null | [
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"jax",
"bart",
"text2text-generation",
"summarization",
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"dataset:cnn_dailymail",
"dataset:xsum",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #jax #bart #text2text-generation #summarization #en #dataset-cnn_dailymail #dataset-xsum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### Usage
This checkpoint should be loaded into 'BartForConditionalGeneration.from\_pretrained'. See the BART docs for more information.
### Metrics for DistilBART models
| [
"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. See the BART docs for more information.",
"### Metrics for DistilBART models"
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"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. ... |
summarization | transformers |
### Usage
This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transformers/model_doc/bart.html?#transformers.BartForConditionalGeneration) for more information.
### Metrics for DistilBART models
| Model Name | MM Params |... | {"language": "en", "license": "apache-2.0", "tags": ["summarization"], "datasets": ["cnn_dailymail", "xsum"], "thumbnail": "https://huggingface.co/front/thumbnails/distilbart_medium.png"} | sshleifer/distilbart-xsum-12-6 | null | [
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| ### Usage
This checkpoint should be loaded into 'BartForConditionalGeneration.from\_pretrained'. See the BART docs for more information.
### Metrics for DistilBART models
| [
"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. See the BART docs for more information.",
"### Metrics for DistilBART models"
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"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. ... |
summarization | transformers |
### Usage
This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transformers/model_doc/bart.html?#transformers.BartForConditionalGeneration) for more information.
### Metrics for DistilBART models
| Model Name | MM Params |... | {"language": "en", "license": "apache-2.0", "tags": ["summarization"], "datasets": ["cnn_dailymail", "xsum"], "thumbnail": "https://huggingface.co/front/thumbnails/distilbart_medium.png"} | sshleifer/distilbart-xsum-6-6 | null | [
"transformers",
"pytorch",
"jax",
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"text2text-generation",
"summarization",
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"dataset:cnn_dailymail",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #jax #bart #text2text-generation #summarization #en #dataset-cnn_dailymail #dataset-xsum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### Usage
This checkpoint should be loaded into 'BartForConditionalGeneration.from\_pretrained'. See the BART docs for more information.
### Metrics for DistilBART models
| [
"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. See the BART docs for more information.",
"### Metrics for DistilBART models"
] | [
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"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. ... |
summarization | transformers |
### Usage
This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transformers/model_doc/bart.html?#transformers.BartForConditionalGeneration) for more information.
### Metrics for DistilBART models
| Model Name | MM Params |... | {"language": "en", "license": "apache-2.0", "tags": ["summarization"], "datasets": ["cnn_dailymail", "xsum"], "thumbnail": "https://huggingface.co/front/thumbnails/distilbart_medium.png"} | sshleifer/distilbart-xsum-9-6 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #jax #bart #text2text-generation #summarization #en #dataset-cnn_dailymail #dataset-xsum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ### Usage
This checkpoint should be loaded into 'BartForConditionalGeneration.from\_pretrained'. See the BART docs for more information.
### Metrics for DistilBART models
| [
"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. See the BART docs for more information.",
"### Metrics for DistilBART models"
] | [
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"### Usage\n\n\nThis checkpoint should be loaded into 'BartForConditionalGeneration.from\\_pretrained'. See the BAR... |
summarization | transformers |
### Pegasus Models
See Docs: [here](https://huggingface.co/transformers/master/model_doc/pegasus.html)
Original TF 1 code [here](https://github.com/google-research/pegasus)
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: [@sshleifer](https://twitter.com/sam_shleifer... | {"language": "en", "tags": ["summarization"]} | sshleifer/distill-pegasus-cnn-16-4 | null | [
"transformers",
"pytorch",
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"text2text-generation",
"summarization",
"en",
"arxiv:1912.08777",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [
"1912.08777"
] | [
"en"
] | TAGS
#transformers #pytorch #pegasus #text2text-generation #summarization #en #arxiv-1912.08777 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### Pegasus Models
See Docs: here
Original TF 1 code here
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: @sshleifer
Task: Summarization
The following is copied from the authors' README.
Mixed & Stochastic Checkpoints
==============================
We tr... | [
"### Pegasus Models\n\n\nSee Docs: here\n\n\nOriginal TF 1 code here\n\n\nAuthors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019\n\n\nMaintained by: @sshleifer\n\n\nTask: Summarization\n\n\nThe following is copied from the authors' README.\n\n\nMixed & Stochastic Checkpoints\n===========... | [
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"### Pegasus Models\n\n\nSee Docs: here\n\n\nOriginal TF 1 code here\n\n\nAuthors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on D... |
summarization | transformers |
### Pegasus Models
See Docs: [here](https://huggingface.co/transformers/master/model_doc/pegasus.html)
Original TF 1 code [here](https://github.com/google-research/pegasus)
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: [@sshleifer](https://twitter.com/sam_shleifer... | {"language": "en", "tags": ["summarization"]} | sshleifer/distill-pegasus-xsum-16-4 | null | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"summarization",
"en",
"arxiv:1912.08777",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [
"1912.08777"
] | [
"en"
] | TAGS
#transformers #pytorch #pegasus #text2text-generation #summarization #en #arxiv-1912.08777 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### Pegasus Models
See Docs: here
Original TF 1 code here
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: @sshleifer
Task: Summarization
The following is copied from the authors' README.
Mixed & Stochastic Checkpoints
==============================
We tr... | [
"### Pegasus Models\n\n\nSee Docs: here\n\n\nOriginal TF 1 code here\n\n\nAuthors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019\n\n\nMaintained by: @sshleifer\n\n\nTask: Summarization\n\n\nThe following is copied from the authors' README.\n\n\nMixed & Stochastic Checkpoints\n===========... | [
"TAGS\n#transformers #pytorch #pegasus #text2text-generation #summarization #en #arxiv-1912.08777 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### Pegasus Models\n\n\nSee Docs: here\n\n\nOriginal TF 1 code here\n\n\nAuthors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on D... |
summarization | transformers |
### Pegasus Models
See Docs: [here](https://huggingface.co/transformers/master/model_doc/pegasus.html)
Original TF 1 code [here](https://github.com/google-research/pegasus)
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: [@sshleifer](https://twitter.com/sam_shleifer... | {"language": "en", "tags": ["summarization"]} | sshleifer/distill-pegasus-xsum-16-8 | null | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"summarization",
"en",
"arxiv:1912.08777",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [
"1912.08777"
] | [
"en"
] | TAGS
#transformers #pytorch #pegasus #text2text-generation #summarization #en #arxiv-1912.08777 #autotrain_compatible #endpoints_compatible #region-us
| ### Pegasus Models
See Docs: here
Original TF 1 code here
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: @sshleifer
Task: Summarization
The following is copied from the authors' README.
Mixed & Stochastic Checkpoints
==============================
We tr... | [
"### Pegasus Models\n\n\nSee Docs: here\n\n\nOriginal TF 1 code here\n\n\nAuthors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019\n\n\nMaintained by: @sshleifer\n\n\nTask: Summarization\n\n\nThe following is copied from the authors' README.\n\n\nMixed & Stochastic Checkpoints\n===========... | [
"TAGS\n#transformers #pytorch #pegasus #text2text-generation #summarization #en #arxiv-1912.08777 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Pegasus Models\n\n\nSee Docs: here\n\n\nOriginal TF 1 code here\n\n\nAuthors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019... |
text2text-generation | transformers | ### opus-mt-INSULAR_CELTIC-en
* source languages: ga,cy,br,gd,kw,gv
* target languages: en
* OPUS readme: [ga+cy+br+gd+kw+gv-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ga+cy+br+gd+kw+gv-en/README.md)
* dataset: opus+techiaith+bt
* model: transformer-align
* pre-processing: normalization + ... | {} | sshleifer/opus-mt-CELTIC-en | null | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [] | TAGS
#transformers #pytorch #marian #text2text-generation #autotrain_compatible #endpoints_compatible #region-us
| ### opus-mt-INSULAR\_CELTIC-en
* source languages: ga,cy,br,gd,kw,gv
* target languages: en
* OPUS readme: ga+cy+br+gd+kw+gv-en
* dataset: opus+techiaith+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: opus+techiaith+URL
* test set translations: opus+techiait... | [
"### opus-mt-INSULAR\\_CELTIC-en\n\n\n* source languages: ga,cy,br,gd,kw,gv\n* target languages: en\n* OPUS readme: ga+cy+br+gd+kw+gv-en\n* dataset: opus+techiaith+bt\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: opus+techiaith+URL\n* test set translation... | [
"TAGS\n#transformers #pytorch #marian #text2text-generation #autotrain_compatible #endpoints_compatible #region-us \n",
"### opus-mt-INSULAR\\_CELTIC-en\n\n\n* source languages: ga,cy,br,gd,kw,gv\n* target languages: en\n* OPUS readme: ga+cy+br+gd+kw+gv-en\n* dataset: opus+techiaith+bt\n* model: transformer-align... |
translation | transformers |
### en-he
* source group: English
* target group: Hebrew
* OPUS readme: [eng-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-heb/README.md)
* model: transformer
* source language(s): eng
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (... | {"language": ["en", "he"], "license": "apache-2.0", "tags": ["translation"]} | sshleifer/opus-mt-en-he | null | [
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"pytorch",
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"text2text-generation",
"translation",
"en",
"he",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en",
"he"
] | TAGS
#transformers #pytorch #marian #text2text-generation #translation #en #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ### en-he
* source group: English
* target group: Hebrew
* OPUS readme: eng-heb
* model: transformer
* source language(s): eng
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores:... | [
"### en-he\n\n\n* source group: English\n* target group: Hebrew\n* OPUS readme: eng-heb\n* model: transformer\n* source language(s): eng\n* target language(s): heb\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n... | [
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"### en-he\n\n\n* source group: English\n* target group: Hebrew\n* OPUS readme: eng-heb\n* model: transformer\n* source language(s): eng\n* target langua... |
summarization | transformers |
### Pegasus Models
See Docs: [here](https://huggingface.co/transformers/master/model_doc/pegasus.html)
Original TF 1 code [here](https://github.com/google-research/pegasus)
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: [@sshleifer](https://twitter.com/sam_shleifer... | {"language": "en", "tags": ["summarization"]} | sshleifer/pegasus-cnn-ft-v2 | null | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"summarization",
"en",
"arxiv:1912.08777",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [
"1912.08777"
] | [
"en"
] | TAGS
#transformers #pytorch #pegasus #text2text-generation #summarization #en #arxiv-1912.08777 #autotrain_compatible #endpoints_compatible #region-us
| ### Pegasus Models
See Docs: here
Original TF 1 code here
Authors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019
Maintained by: @sshleifer
Task: Summarization
The following is copied from the authors' README.
Mixed & Stochastic Checkpoints
==============================
We tr... | [
"### Pegasus Models\n\n\nSee Docs: here\n\n\nOriginal TF 1 code here\n\n\nAuthors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019\n\n\nMaintained by: @sshleifer\n\n\nTask: Summarization\n\n\nThe following is copied from the authors' README.\n\n\nMixed & Stochastic Checkpoints\n===========... | [
"TAGS\n#transformers #pytorch #pegasus #text2text-generation #summarization #en #arxiv-1912.08777 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Pegasus Models\n\n\nSee Docs: here\n\n\nOriginal TF 1 code here\n\n\nAuthors: Jingqing Zhang, Yao Zhao, Mohammad Saleh and Peter J. Liu on Dec 18, 2019... |
text-generation | transformers |
This repository is the submission for the final project for BF510 [Institutional Racism in Health and Science](http://irhs.bu.edu/) for Shariq Madha.
To see Jupyter detailing how this model was produced, as well as the motivation behind it, go [here](https://github.com/ssmadha/BF510-final-project/).
To try this out ... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-finetuned-scientific-articles", "results": []}]} | ssmadha/gpt2-finetuned-scientific-articles | null | [
"transformers",
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"tensorboard",
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"text-generation",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This repository is the submission for the final project for BF510 Institutional Racism in Health and Science for Shariq Madha.
To see Jupyter detailing how this model was produced, as well as the motivation behind it, go here.
To try this out yourself, enter a prompt in the textbox to the right and hit compute (it ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n*... |
text-generation | transformers |
# Harry Potter DialoGPT Model | {"tags": ["conversational"]} | ssspider/DialoGPT-medium-harrypotter | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Harry Potter DialoGPT Model | [
"# Harry Potter DialoGPT Model"
] | [
"TAGS\n#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Harry Potter DialoGPT Model"
] |
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. -->
# finetuned-bert-bounti
This model is a fine-tuned version of [dbmdz/bert-base-turkish-128k-uncased](https://huggingface.co/dbmdz/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "model-index": [{"name": "finetuned-bert-bounti", "results": []}]} | sszyr/finetuned-bert-bounti | null | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us
| finetuned-bert-bounti
=====================
This model is a fine-tuned version of dbmdz/bert-base-turkish-128k-uncased on the BounTi Turkish Twitter sentiment dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1188
* Accuracy: 0.7246
* F1: 0.6845
* Precision: 0.6892
* Recall: 0.6806
Model... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 36\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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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 24\n* eval\\_... |
token-classification | transformers | # ✨ bert-restore-punctuation
[]()
This a bert-base-uncased model finetuned for punctuation restoration on [Yelp Reviews](https://www.tensorflow.org/datasets/catalog/yelp_polarity_reviews).
The model predicts the punctuation and upper-casing of plai... | {"language": ["en"], "license": "mit", "tags": ["punctuation"], "datasets": ["yelp_polarity"], "metrics": ["f1"]} | st1992/bert-restore-punctuation | null | [
"transformers",
"pytorch",
"bert",
"token-classification",
"punctuation",
"en",
"dataset:yelp_polarity",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #bert #token-classification #punctuation #en #dataset-yelp_polarity #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bert-restore-punctuation
========================
![forthebadge]()
This a bert-base-uncased model finetuned for punctuation restoration on Yelp Reviews.
The model predicts the punctuation and upper-casing of plain, lower-cased text. An example use case can be ASR output. Or other cases when text has lost punctuat... | [] | [
"TAGS\n#transformers #pytorch #bert #token-classification #punctuation #en #dataset-yelp_polarity #license-mit #autotrain_compatible #endpoints_compatible #region-us \n"
] |
feature-extraction | transformers |
# st1992/paraphrase-MiniLM-L12-tagalog-v2
paraphrase-MiniLM-L12-v2 finetuned on Tagalog language: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers) : same as other sentence-transformer models
```
pip ins... | {} | st1992/paraphrase-MiniLM-L12-tagalog-v2 | null | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [] | TAGS
#transformers #pytorch #bert #feature-extraction #endpoints_compatible #region-us
|
# st1992/paraphrase-MiniLM-L12-tagalog-v2
paraphrase-MiniLM-L12-v2 finetuned on Tagalog language: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers) : same as other sentence-transformer models
Then you c... | [
"# st1992/paraphrase-MiniLM-L12-tagalog-v2\nparaphrase-MiniLM-L12-v2 finetuned on Tagalog language: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers) : same as other sentence-transformer models\n... | [
"TAGS\n#transformers #pytorch #bert #feature-extraction #endpoints_compatible #region-us \n",
"# st1992/paraphrase-MiniLM-L12-tagalog-v2\nparaphrase-MiniLM-L12-v2 finetuned on Tagalog language: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or sema... |
text-classification | transformers |
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 16332728
## Validation Metrics
- Loss: 0.08077391237020493
- Accuracy: 0.9846153846153847
- Macro F1: 0.9900793650793651
- Micro F1: 0.9846153846153847
- Weighted F1: 0.9846153846153847
- Macro Precision: 0.9900793650793651
- Micro... | {"language": "unk", "tags": "autonlp", "datasets": ["staceythompson/autonlp-data-myclassification-fortext"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}]} | staceythompson/autonlp-myclassification-fortext-16332728 | null | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"autonlp",
"unk",
"dataset:staceythompson/autonlp-data-myclassification-fortext",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"unk"
] | TAGS
#transformers #pytorch #distilbert #text-classification #autonlp #unk #dataset-staceythompson/autonlp-data-myclassification-fortext #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 16332728
## Validation Metrics
- Loss: 0.08077391237020493
- Accuracy: 0.9846153846153847
- Macro F1: 0.9900793650793651
- Micro F1: 0.9846153846153847
- Weighted F1: 0.9846153846153847
- Macro Precision: 0.9900793650793651
- Micro... | [
"# Model Trained Using AutoNLP\n\n- Problem type: Multi-class Classification\n- Model ID: 16332728",
"## Validation Metrics\n\n- Loss: 0.08077391237020493\n- Accuracy: 0.9846153846153847\n- Macro F1: 0.9900793650793651\n- Micro F1: 0.9846153846153847\n- Weighted F1: 0.9846153846153847\n- Macro Precision: 0.990079... | [
"TAGS\n#transformers #pytorch #distilbert #text-classification #autonlp #unk #dataset-staceythompson/autonlp-data-myclassification-fortext #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Trained Using AutoNLP\n\n- Problem type: Multi-class Classification\n- Model ID: 16332728",
"## Validati... |
text-classification | transformers |
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 38319698
- CO2 Emissions (in grams): 2.0318857468309206
## Validation Metrics
- Loss: 0.04461582377552986
- Accuracy: 0.9909255898366606
- Macro F1: 0.9951842095089771
- Micro F1: 0.9909255898366606
- Weighted F1: 0.990949394558717... | {"language": "unk", "tags": "autonlp", "datasets": ["staceythompson/autonlp-data-new-text-classification"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_emissions": 2.0318857468309206} | staceythompson/autonlp-new-text-classification-38319698 | null | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"autonlp",
"unk",
"dataset:staceythompson/autonlp-data-new-text-classification",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"unk"
] | TAGS
#transformers #pytorch #distilbert #text-classification #autonlp #unk #dataset-staceythompson/autonlp-data-new-text-classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 38319698
- CO2 Emissions (in grams): 2.0318857468309206
## Validation Metrics
- Loss: 0.04461582377552986
- Accuracy: 0.9909255898366606
- Macro F1: 0.9951842095089771
- Micro F1: 0.9909255898366606
- Weighted F1: 0.990949394558717... | [
"# Model Trained Using AutoNLP\n\n- Problem type: Multi-class Classification\n- Model ID: 38319698\n- CO2 Emissions (in grams): 2.0318857468309206",
"## Validation Metrics\n\n- Loss: 0.04461582377552986\n- Accuracy: 0.9909255898366606\n- Macro F1: 0.9951842095089771\n- Micro F1: 0.9909255898366606\n- Weighted F1:... | [
"TAGS\n#transformers #pytorch #distilbert #text-classification #autonlp #unk #dataset-staceythompson/autonlp-data-new-text-classification #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Trained Using AutoNLP\n\n- Problem type: Multi-class Classification\n- Model ID: 38319698... |
null | null | A simple Auto Encoder made up of VGG19 trained to reconstruct skin lesion images. | {} | stamas01/vgg19_skin_auto_encoder | null | [
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [] | TAGS
#region-us
| A simple Auto Encoder made up of VGG19 trained to reconstruct skin lesion images. | [] | [
"TAGS\n#region-us \n"
] |
text-generation | transformers |
# Model Card for alias-gpt2-small-x21
# Model Details
## Model Description
More information needed
- **Developed by:** Stanford CRFM
- **Shared by [Optional]:** Stanford CRFM
- **Model type:** Text Generation
- **Language(s) (NLP):** More information needed
- **License:** Apache 2.0
- **Parent Model:** [GPT-... | {"license": "apache-2.0", "tags": ["gpt2", "text-generation"]} | stanford-crfm/alias-gpt2-small-x21 | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #pytorch #gpt2 #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for alias-gpt2-small-x21
# Model Details
## Model Description
More information needed
- Developed by: Stanford CRFM
- Shared by [Optional]: Stanford CRFM
- Model type: Text Generation
- Language(s) (NLP): More information needed
- License: Apache 2.0
- Parent Model: GPT-2
- Resources for more in... | [
"# Model Card for alias-gpt2-small-x21",
"# Model Details",
"## Model Description\n \nMore information needed\n \n- Developed by: Stanford CRFM\n- Shared by [Optional]: Stanford CRFM\n\n- Model type: Text Generation\n- Language(s) (NLP): More information needed\n- License: Apache 2.0\n- Parent Model: GPT-2\n- R... | [
"TAGS\n#transformers #pytorch #gpt2 #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for alias-gpt2-small-x21",
"# Model Details",
"## Model Description\n \nMore information needed\n \n- Developed by: St... |
null | null | # Core NLP model for CoreNLP
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentime... | {"language": "en", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/CoreNLP | null | [
"corenlp",
"en",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#corenlp #en #license-gpl-2.0 #region-us
| # Core NLP model for CoreNLP
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentime... | [
"# Core NLP model for CoreNLP\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, s... | [
"TAGS\n#corenlp #en #license-gpl-2.0 #region-us \n",
"# Core NLP model for CoreNLP\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time val... |
null | null | # Core NLP model for arabic
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentimen... | {"language": "ar", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-arabic | null | [
"corenlp",
"ar",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ar"
] | TAGS
#corenlp #ar #license-gpl-2.0 #region-us
| # Core NLP model for arabic
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentimen... | [
"# Core NLP model for arabic\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, se... | [
"TAGS\n#corenlp #ar #license-gpl-2.0 #region-us \n",
"# Core NLP model for arabic\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time valu... |
null | null | # Core NLP model for chinese
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentime... | {"language": "zh", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-chinese | null | [
"corenlp",
"zh",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"zh"
] | TAGS
#corenlp #zh #license-gpl-2.0 #region-us
| # Core NLP model for chinese
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentime... | [
"# Core NLP model for chinese\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, s... | [
"TAGS\n#corenlp #zh #license-gpl-2.0 #region-us \n",
"# Core NLP model for chinese\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time val... |
null | null | # Core NLP model for english-default
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference,... | {"language": "en", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-english-default | null | [
"corenlp",
"en",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#corenlp #en #license-gpl-2.0 #region-us
| # Core NLP model for english-default
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference,... | [
"# Core NLP model for english-default\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, corefe... | [
"TAGS\n#corenlp #en #license-gpl-2.0 #region-us \n",
"# Core NLP model for english-default\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and ... |
null | null | # Core NLP model for english-extra
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, s... | {"language": "en", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-english-extra | null | [
"corenlp",
"en",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#corenlp #en #license-gpl-2.0 #region-us
| # Core NLP model for english-extra
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, s... | [
"# Core NLP model for english-extra\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, corefere... | [
"TAGS\n#corenlp #en #license-gpl-2.0 #region-us \n",
"# Core NLP model for english-extra\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and ti... |
null | null | # Core NLP model for english-kbp
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sen... | {"language": "en", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-english-kbp | null | [
"corenlp",
"en",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#corenlp #en #license-gpl-2.0 #region-us
| # Core NLP model for english-kbp
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sen... | [
"# Core NLP model for english-kbp\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreferenc... | [
"TAGS\n#corenlp #en #license-gpl-2.0 #region-us \n",
"# Core NLP model for english-kbp\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time... |
null | null | # Core NLP model for french
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentimen... | {"language": "fr", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-french | null | [
"corenlp",
"fr",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"fr"
] | TAGS
#corenlp #fr #license-gpl-2.0 #region-us
| # Core NLP model for french
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentimen... | [
"# Core NLP model for french\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, se... | [
"TAGS\n#corenlp #fr #license-gpl-2.0 #region-us \n",
"# Core NLP model for french\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time valu... |
null | null | # Core NLP model for german
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentimen... | {"language": "de", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-german | null | [
"corenlp",
"de",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"de"
] | TAGS
#corenlp #de #license-gpl-2.0 #region-us
| # Core NLP model for german
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentimen... | [
"# Core NLP model for german\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, se... | [
"TAGS\n#corenlp #de #license-gpl-2.0 #region-us \n",
"# Core NLP model for german\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time valu... |
null | null | # Core NLP model for hungarian
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, senti... | {"language": "hu", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-hungarian | null | [
"corenlp",
"hu",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"hu"
] | TAGS
#corenlp #hu #license-gpl-2.0 #region-us
| # Core NLP model for hungarian
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, senti... | [
"# Core NLP model for hungarian\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference,... | [
"TAGS\n#corenlp #hu #license-gpl-2.0 #region-us \n",
"# Core NLP model for hungarian\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time v... |
null | null | # Core NLP model for italian
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentime... | {"language": "it", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-italian | null | [
"corenlp",
"it",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"it"
] | TAGS
#corenlp #it #license-gpl-2.0 #region-us
| # Core NLP model for italian
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentime... | [
"# Core NLP model for italian\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, s... | [
"TAGS\n#corenlp #it #license-gpl-2.0 #region-us \n",
"# Core NLP model for italian\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time val... |
null | null | # Core NLP model for spanish
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentime... | {"language": "es", "license": "gpl-2.0", "tags": ["corenlp"], "library_tag": "corenlp"} | stanfordnlp/corenlp-spanish | null | [
"corenlp",
"es",
"license:gpl-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"es"
] | TAGS
#corenlp #es #license-gpl-2.0 #region-us
| # Core NLP model for spanish
CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentime... | [
"# Core NLP model for spanish\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, s... | [
"TAGS\n#corenlp #es #license-gpl-2.0 #region-us \n",
"# Core NLP model for spanish\nCoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time val... |
null | null | Hosts models for Stanford's GloVe distribution
https://github.com/stanfordnlp/glove | {} | stanfordnlp/glove | null | [
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [] | TAGS
#has_space #region-us
| Hosts models for Stanford's GloVe distribution
URL | [] | [
"TAGS\n#has_space #region-us \n"
] |
token-classification | stanza | # Stanza model for Afrikaans (af)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](... | {"language": "af", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-af | null | [
"stanza",
"token-classification",
"af",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"af"
] | TAGS
#stanza #token-classification #af #license-apache-2.0 #region-us
| # Stanza model for Afrikaans (af)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website an... | [
"# Stanza model for Afrikaans (af)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our web... | [
"TAGS\n#stanza #token-classification #af #license-apache-2.0 #region-us \n",
"# Stanza model for Afrikaans (af)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-t... |
token-classification | stanza | # Stanza model for Arabic (ar)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "ar", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ar | null | [
"stanza",
"token-classification",
"ar",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ar"
] | TAGS
#stanza #token-classification #ar #license-apache-2.0 #region-us
| # Stanza model for Arabic (ar)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Arabic (ar)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #ar #license-apache-2.0 #region-us \n",
"# Stanza model for Arabic (ar)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for Belarusian (be)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website]... | {"language": "be", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-be | null | [
"stanza",
"token-classification",
"be",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"be"
] | TAGS
#stanza #token-classification #be #license-apache-2.0 #region-us
| # Stanza model for Belarusian (be)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website a... | [
"# Stanza model for Belarusian (be)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our we... | [
"TAGS\n#stanza #token-classification #be #license-apache-2.0 #region-us \n",
"# Stanza model for Belarusian (be)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-... |
token-classification | stanza | # Stanza model for Bulgarian (bg)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](... | {"language": "bg", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-bg | null | [
"stanza",
"token-classification",
"bg",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"bg"
] | TAGS
#stanza #token-classification #bg #license-apache-2.0 #region-us
| # Stanza model for Bulgarian (bg)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website an... | [
"# Stanza model for Bulgarian (bg)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our web... | [
"TAGS\n#stanza #token-classification #bg #license-apache-2.0 #region-us \n",
"# Stanza model for Bulgarian (bg)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-t... |
token-classification | stanza | # Stanza model for Catalan (ca)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "ca", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ca | null | [
"stanza",
"token-classification",
"ca",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ca"
] | TAGS
#stanza #token-classification #ca #license-apache-2.0 #region-us
| # Stanza model for Catalan (ca)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Catalan (ca)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #ca #license-apache-2.0 #region-us \n",
"# Stanza model for Catalan (ca)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Coptic (cop)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "cop", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-cop | null | [
"stanza",
"token-classification",
"cop",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"cop"
] | TAGS
#stanza #token-classification #cop #license-apache-2.0 #region-us
| # Stanza model for Coptic (cop)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Coptic (cop)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #cop #license-apache-2.0 #region-us \n",
"# Stanza model for Coptic (cop)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-th... |
token-classification | stanza | # Stanza model for Czech (cs)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | {"language": "cs", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-cs | null | [
"stanza",
"token-classification",
"cs",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"cs"
] | TAGS
#stanza #token-classification #cs #license-apache-2.0 #region-us
| # Stanza model for Czech (cs)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ou... | [
"# Stanza model for Czech (cs)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website... | [
"TAGS\n#stanza #token-classification #cs #license-apache-2.0 #region-us \n",
"# Stanza model for Czech (cs)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-a... |
token-classification | stanza | # Stanza model for Old_Church_Slavonic (cu)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our... | {"language": "cu", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-cu | null | [
"stanza",
"token-classification",
"cu",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"cu"
] | TAGS
#stanza #token-classification #cu #license-apache-2.0 #region-us
| # Stanza model for Old_Church_Slavonic (cu)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our ... | [
"# Stanza model for Old_Church_Slavonic (cu)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it ... | [
"TAGS\n#stanza #token-classification #cu #license-apache-2.0 #region-us \n",
"# Stanza model for Old_Church_Slavonic (cu)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings ... |
token-classification | stanza | # Stanza model for Welsh (cy)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | {"language": "cy", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-cy | null | [
"stanza",
"token-classification",
"cy",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"cy"
] | TAGS
#stanza #token-classification #cy #license-apache-2.0 #region-us
| # Stanza model for Welsh (cy)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ou... | [
"# Stanza model for Welsh (cy)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website... | [
"TAGS\n#stanza #token-classification #cy #license-apache-2.0 #region-us \n",
"# Stanza model for Welsh (cy)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-a... |
token-classification | stanza | # Stanza model for Danish (da)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "da", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-da | null | [
"stanza",
"token-classification",
"da",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"da"
] | TAGS
#stanza #token-classification #da #license-apache-2.0 #region-us
| # Stanza model for Danish (da)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Danish (da)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #da #license-apache-2.0 #region-us \n",
"# Stanza model for Danish (da)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for German (de)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "de", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-de | null | [
"stanza",
"token-classification",
"de",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"de"
] | TAGS
#stanza #token-classification #de #license-apache-2.0 #has_space #region-us
| # Stanza model for German (de)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for German (de)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #de #license-apache-2.0 #has_space #region-us \n",
"# Stanza model for German (de)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings st... |
token-classification | stanza | # Stanza model for Greek (el)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | {"language": "el", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-el | null | [
"stanza",
"token-classification",
"el",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"el"
] | TAGS
#stanza #token-classification #el #license-apache-2.0 #has_space #region-us
| # Stanza model for Greek (el)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ou... | [
"# Stanza model for Greek (el)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website... | [
"TAGS\n#stanza #token-classification #el #license-apache-2.0 #has_space #region-us \n",
"# Stanza model for Greek (el)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings sta... |
token-classification | stanza | # Stanza model for English (en)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "en", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-en | null | [
"stanza",
"token-classification",
"en",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"en"
] | TAGS
#stanza #token-classification #en #license-apache-2.0 #has_space #region-us
| # Stanza model for English (en)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for English (en)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #en #license-apache-2.0 #has_space #region-us \n",
"# Stanza model for English (en)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings s... |
token-classification | stanza | # Stanza model for Spanish (es)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "es", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-es | null | [
"stanza",
"token-classification",
"es",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"es"
] | TAGS
#stanza #token-classification #es #license-apache-2.0 #region-us
| # Stanza model for Spanish (es)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Spanish (es)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #es #license-apache-2.0 #region-us \n",
"# Stanza model for Spanish (es)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Estonian (et)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](h... | {"language": "et", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-et | null | [
"stanza",
"token-classification",
"et",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"et"
] | TAGS
#stanza #token-classification #et #license-apache-2.0 #region-us
| # Stanza model for Estonian (et)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and... | [
"# Stanza model for Estonian (et)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our webs... | [
"TAGS\n#stanza #token-classification #et #license-apache-2.0 #region-us \n",
"# Stanza model for Estonian (et)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-th... |
token-classification | stanza | # Stanza model for Basque (eu)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "eu", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-eu | null | [
"stanza",
"token-classification",
"eu",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"eu"
] | TAGS
#stanza #token-classification #eu #license-apache-2.0 #region-us
| # Stanza model for Basque (eu)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Basque (eu)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #eu #license-apache-2.0 #region-us \n",
"# Stanza model for Basque (eu)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for Persian (fa)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "fa", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-fa | null | [
"stanza",
"token-classification",
"fa",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"fa"
] | TAGS
#stanza #token-classification #fa #license-apache-2.0 #region-us
| # Stanza model for Persian (fa)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Persian (fa)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #fa #license-apache-2.0 #region-us \n",
"# Stanza model for Persian (fa)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Finnish (fi)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "fi", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-fi | null | [
"stanza",
"token-classification",
"fi",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"fi"
] | TAGS
#stanza #token-classification #fi #license-apache-2.0 #region-us
| # Stanza model for Finnish (fi)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Finnish (fi)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #fi #license-apache-2.0 #region-us \n",
"# Stanza model for Finnish (fi)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Faroese (fo)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "fo", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-fo | null | [
"stanza",
"token-classification",
"fo",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"fo"
] | TAGS
#stanza #token-classification #fo #license-apache-2.0 #region-us
| # Stanza model for Faroese (fo)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Faroese (fo)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #fo #license-apache-2.0 #region-us \n",
"# Stanza model for Faroese (fo)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for French (fr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "fr", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-fr | null | [
"stanza",
"token-classification",
"fr",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"fr"
] | TAGS
#stanza #token-classification #fr #license-apache-2.0 #region-us
| # Stanza model for French (fr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for French (fr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #fr #license-apache-2.0 #region-us \n",
"# Stanza model for French (fr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for Old_French (fro)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website... | {"language": "fro", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-fro | null | [
"stanza",
"token-classification",
"fro",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"fro"
] | TAGS
#stanza #token-classification #fro #license-apache-2.0 #region-us
| # Stanza model for Old_French (fro)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website ... | [
"# Stanza model for Old_French (fro)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our w... | [
"TAGS\n#stanza #token-classification #fro #license-apache-2.0 #region-us \n",
"# Stanza model for Old_French (fro)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-o... |
token-classification | stanza | # Stanza model for Irish (ga)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | {"language": "ga", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ga | null | [
"stanza",
"token-classification",
"ga",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ga"
] | TAGS
#stanza #token-classification #ga #license-apache-2.0 #region-us
| # Stanza model for Irish (ga)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ou... | [
"# Stanza model for Irish (ga)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website... | [
"TAGS\n#stanza #token-classification #ga #license-apache-2.0 #region-us \n",
"# Stanza model for Irish (ga)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-a... |
token-classification | stanza | # Stanza model for Scottish_Gaelic (gd)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our web... | {"language": "gd", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-gd | null | [
"stanza",
"token-classification",
"gd",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"gd"
] | TAGS
#stanza #token-classification #gd #license-apache-2.0 #region-us
| # Stanza model for Scottish_Gaelic (gd)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our webs... | [
"# Stanza model for Scottish_Gaelic (gd)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in o... | [
"TAGS\n#stanza #token-classification #gd #license-apache-2.0 #region-us \n",
"# Stanza model for Scottish_Gaelic (gd)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings stat... |
token-classification | stanza | # Stanza model for Galician (gl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](h... | {"language": "gl", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-gl | null | [
"stanza",
"token-classification",
"gl",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"gl"
] | TAGS
#stanza #token-classification #gl #license-apache-2.0 #region-us
| # Stanza model for Galician (gl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and... | [
"# Stanza model for Galician (gl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our webs... | [
"TAGS\n#stanza #token-classification #gl #license-apache-2.0 #region-us \n",
"# Stanza model for Galician (gl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-th... |
token-classification | stanza | # Stanza model for Gothic (got)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "got", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-got | null | [
"stanza",
"token-classification",
"got",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"got"
] | TAGS
#stanza #token-classification #got #license-apache-2.0 #region-us
| # Stanza model for Gothic (got)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Gothic (got)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #got #license-apache-2.0 #region-us \n",
"# Stanza model for Gothic (got)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-th... |
token-classification | stanza | # Stanza model for Ancient_Greek (grc)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our webs... | {"language": "grc", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-grc | null | [
"stanza",
"token-classification",
"grc",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"grc"
] | TAGS
#stanza #token-classification #grc #license-apache-2.0 #region-us
| # Stanza model for Ancient_Greek (grc)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our websi... | [
"# Stanza model for Ancient_Greek (grc)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in ou... | [
"TAGS\n#stanza #token-classification #grc #license-apache-2.0 #region-us \n",
"# Stanza model for Ancient_Greek (grc)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings stat... |
token-classification | stanza | # Stanza model for Hebrew (he)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "he", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-he | null | [
"stanza",
"token-classification",
"he",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"he"
] | TAGS
#stanza #token-classification #he #license-apache-2.0 #region-us
| # Stanza model for Hebrew (he)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Hebrew (he)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #he #license-apache-2.0 #region-us \n",
"# Stanza model for Hebrew (he)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for Hindi (hi)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | {"language": "hi", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-hi | null | [
"stanza",
"token-classification",
"hi",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"hi"
] | TAGS
#stanza #token-classification #hi #license-apache-2.0 #region-us
| # Stanza model for Hindi (hi)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ou... | [
"# Stanza model for Hindi (hi)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website... | [
"TAGS\n#stanza #token-classification #hi #license-apache-2.0 #region-us \n",
"# Stanza model for Hindi (hi)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-a... |
token-classification | stanza | # Stanza model for Croatian (hr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](h... | {"language": "hr", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-hr | null | [
"stanza",
"token-classification",
"hr",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"hr"
] | TAGS
#stanza #token-classification #hr #license-apache-2.0 #region-us
| # Stanza model for Croatian (hr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and... | [
"# Stanza model for Croatian (hr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our webs... | [
"TAGS\n#stanza #token-classification #hr #license-apache-2.0 #region-us \n",
"# Stanza model for Croatian (hr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-th... |
token-classification | stanza | # Stanza model for Hungarian (hu)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](... | {"language": "hu", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-hu | null | [
"stanza",
"token-classification",
"hu",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"hu"
] | TAGS
#stanza #token-classification #hu #license-apache-2.0 #region-us
| # Stanza model for Hungarian (hu)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website an... | [
"# Stanza model for Hungarian (hu)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our web... | [
"TAGS\n#stanza #token-classification #hu #license-apache-2.0 #region-us \n",
"# Stanza model for Hungarian (hu)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-t... |
token-classification | stanza | # Stanza model for Armenian (hy)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](h... | {"language": "hy", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-hy | null | [
"stanza",
"token-classification",
"hy",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"hy"
] | TAGS
#stanza #token-classification #hy #license-apache-2.0 #region-us
| # Stanza model for Armenian (hy)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and... | [
"# Stanza model for Armenian (hy)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our webs... | [
"TAGS\n#stanza #token-classification #hy #license-apache-2.0 #region-us \n",
"# Stanza model for Armenian (hy)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-th... |
token-classification | stanza | # Stanza model for Western_Armenian (hyw)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our w... | {"language": "hyw", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-hyw | null | [
"stanza",
"token-classification",
"hyw",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"hyw"
] | TAGS
#stanza #token-classification #hyw #license-apache-2.0 #region-us
| # Stanza model for Western_Armenian (hyw)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our we... | [
"# Stanza model for Western_Armenian (hyw)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in... | [
"TAGS\n#stanza #token-classification #hyw #license-apache-2.0 #region-us \n",
"# Stanza model for Western_Armenian (hyw)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings s... |
token-classification | stanza | # Stanza model for Indonesian (id)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website]... | {"language": "id", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-id | null | [
"stanza",
"token-classification",
"id",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"id"
] | TAGS
#stanza #token-classification #id #license-apache-2.0 #region-us
| # Stanza model for Indonesian (id)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website a... | [
"# Stanza model for Indonesian (id)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our we... | [
"TAGS\n#stanza #token-classification #id #license-apache-2.0 #region-us \n",
"# Stanza model for Indonesian (id)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-... |
token-classification | stanza | # Stanza model for Icelandic (is)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](... | {"language": "is", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-is | null | [
"stanza",
"token-classification",
"is",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"is"
] | TAGS
#stanza #token-classification #is #license-apache-2.0 #region-us
| # Stanza model for Icelandic (is)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website an... | [
"# Stanza model for Icelandic (is)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our web... | [
"TAGS\n#stanza #token-classification #is #license-apache-2.0 #region-us \n",
"# Stanza model for Icelandic (is)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-t... |
token-classification | stanza | # Stanza model for Italian (it)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "it", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-it | null | [
"stanza",
"token-classification",
"it",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"it"
] | TAGS
#stanza #token-classification #it #license-apache-2.0 #region-us
| # Stanza model for Italian (it)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Italian (it)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #it #license-apache-2.0 #region-us \n",
"# Stanza model for Italian (it)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Japanese (ja)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](h... | {"language": "ja", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ja | null | [
"stanza",
"token-classification",
"ja",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ja"
] | TAGS
#stanza #token-classification #ja #license-apache-2.0 #region-us
| # Stanza model for Japanese (ja)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and... | [
"# Stanza model for Japanese (ja)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our webs... | [
"TAGS\n#stanza #token-classification #ja #license-apache-2.0 #region-us \n",
"# Stanza model for Japanese (ja)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-th... |
token-classification | stanza | # Stanza model for Korean (ko)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "ko", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ko | null | [
"stanza",
"token-classification",
"ko",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ko"
] | TAGS
#stanza #token-classification #ko #license-apache-2.0 #region-us
| # Stanza model for Korean (ko)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Korean (ko)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #ko #license-apache-2.0 #region-us \n",
"# Stanza model for Korean (ko)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for Latin (la)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | {"language": "la", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-la | null | [
"stanza",
"token-classification",
"la",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"la"
] | TAGS
#stanza #token-classification #la #license-apache-2.0 #region-us
| # Stanza model for Latin (la)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ou... | [
"# Stanza model for Latin (la)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website... | [
"TAGS\n#stanza #token-classification #la #license-apache-2.0 #region-us \n",
"# Stanza model for Latin (la)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-a... |
token-classification | stanza | # Stanza model for Lithuanian (lt)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website]... | {"language": "lt", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-lt | null | [
"stanza",
"token-classification",
"lt",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"lt"
] | TAGS
#stanza #token-classification #lt #license-apache-2.0 #region-us
| # Stanza model for Lithuanian (lt)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website a... | [
"# Stanza model for Lithuanian (lt)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our we... | [
"TAGS\n#stanza #token-classification #lt #license-apache-2.0 #region-us \n",
"# Stanza model for Lithuanian (lt)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-... |
token-classification | stanza | # Stanza model for Latvian (lv)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "lv", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-lv | null | [
"stanza",
"token-classification",
"lv",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"lv"
] | TAGS
#stanza #token-classification #lv #license-apache-2.0 #region-us
| # Stanza model for Latvian (lv)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Latvian (lv)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #lv #license-apache-2.0 #region-us \n",
"# Stanza model for Latvian (lv)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Classical_Chinese (lzh)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our ... | {"language": "lzh", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-lzh | null | [
"stanza",
"token-classification",
"lzh",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"lzh"
] | TAGS
#stanza #token-classification #lzh #license-apache-2.0 #region-us
| # Stanza model for Classical_Chinese (lzh)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our w... | [
"# Stanza model for Classical_Chinese (lzh)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it i... | [
"TAGS\n#stanza #token-classification #lzh #license-apache-2.0 #region-us \n",
"# Stanza model for Classical_Chinese (lzh)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings ... |
token-classification | stanza | # Stanza model for Marathi (mr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "mr", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-mr | null | [
"stanza",
"token-classification",
"mr",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"mr"
] | TAGS
#stanza #token-classification #mr #license-apache-2.0 #region-us
| # Stanza model for Marathi (mr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Marathi (mr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #mr #license-apache-2.0 #region-us \n",
"# Stanza model for Marathi (mr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Maltese (mt)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "mt", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-mt | null | [
"stanza",
"token-classification",
"mt",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"mt"
] | TAGS
#stanza #token-classification #mt #license-apache-2.0 #region-us
| # Stanza model for Maltese (mt)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Maltese (mt)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #mt #license-apache-2.0 #region-us \n",
"# Stanza model for Maltese (mt)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for multilingual
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "multilingual", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-multilingual | null | [
"stanza",
"token-classification",
"multilingual",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"multilingual"
] | TAGS
#stanza #token-classification #multilingual #license-apache-2.0 #region-us
| # Stanza model for multilingual
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for multilingual\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #multilingual #license-apache-2.0 #region-us \n",
"# Stanza model for multilingual\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings st... |
token-classification | stanza | # Stanza model for Myanmar (my)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "my", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-my | null | [
"stanza",
"token-classification",
"my",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"my"
] | TAGS
#stanza #token-classification #my #license-apache-2.0 #region-us
| # Stanza model for Myanmar (my)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Myanmar (my)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #my #license-apache-2.0 #region-us \n",
"# Stanza model for Myanmar (my)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Norwegian (nb)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](... | {"language": "nb", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-nb | null | [
"stanza",
"token-classification",
"nb",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"nb"
] | TAGS
#stanza #token-classification #nb #license-apache-2.0 #region-us
| # Stanza model for Norwegian (nb)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website an... | [
"# Stanza model for Norwegian (nb)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our web... | [
"TAGS\n#stanza #token-classification #nb #license-apache-2.0 #region-us \n",
"# Stanza model for Norwegian (nb)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-t... |
token-classification | stanza | # Stanza model for Dutch (nl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | {"language": "nl", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-nl | null | [
"stanza",
"token-classification",
"nl",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"nl"
] | TAGS
#stanza #token-classification #nl #license-apache-2.0 #region-us
| # Stanza model for Dutch (nl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ou... | [
"# Stanza model for Dutch (nl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website... | [
"TAGS\n#stanza #token-classification #nl #license-apache-2.0 #region-us \n",
"# Stanza model for Dutch (nl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-a... |
token-classification | stanza | # Stanza model for Norwegian_Nynorsk (nn)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our w... | {"language": "nn", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-nn | null | [
"stanza",
"token-classification",
"nn",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"nn"
] | TAGS
#stanza #token-classification #nn #license-apache-2.0 #region-us
| # Stanza model for Norwegian_Nynorsk (nn)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our we... | [
"# Stanza model for Norwegian_Nynorsk (nn)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in... | [
"TAGS\n#stanza #token-classification #nn #license-apache-2.0 #region-us \n",
"# Stanza model for Norwegian_Nynorsk (nn)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings st... |
token-classification | stanza | # Stanza model for Old_East_Slavic (orv)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our we... | {"language": "orv", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-orv | null | [
"stanza",
"token-classification",
"orv",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"orv"
] | TAGS
#stanza #token-classification #orv #license-apache-2.0 #region-us
| # Stanza model for Old_East_Slavic (orv)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our web... | [
"# Stanza model for Old_East_Slavic (orv)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in ... | [
"TAGS\n#stanza #token-classification #orv #license-apache-2.0 #region-us \n",
"# Stanza model for Old_East_Slavic (orv)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings st... |
token-classification | stanza | # Stanza model for Naija (pcm)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "pcm", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-pcm | null | [
"stanza",
"token-classification",
"pcm",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"pcm"
] | TAGS
#stanza #token-classification #pcm #license-apache-2.0 #region-us
| # Stanza model for Naija (pcm)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Naija (pcm)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #pcm #license-apache-2.0 #region-us \n",
"# Stanza model for Naija (pcm)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Polish (pl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "pl", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-pl | null | [
"stanza",
"token-classification",
"pl",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"pl"
] | TAGS
#stanza #token-classification #pl #license-apache-2.0 #region-us
| # Stanza model for Polish (pl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Polish (pl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #pl #license-apache-2.0 #region-us \n",
"# Stanza model for Polish (pl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for Portuguese (pt)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website]... | {"language": "pt", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-pt | null | [
"stanza",
"token-classification",
"pt",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"pt"
] | TAGS
#stanza #token-classification #pt #license-apache-2.0 #region-us
| # Stanza model for Portuguese (pt)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website a... | [
"# Stanza model for Portuguese (pt)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our we... | [
"TAGS\n#stanza #token-classification #pt #license-apache-2.0 #region-us \n",
"# Stanza model for Portuguese (pt)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-... |
token-classification | stanza | # Stanza model for Turkish_German (qtd)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our web... | {"language": "qtd", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-qtd | null | [
"stanza",
"token-classification",
"qtd",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"qtd"
] | TAGS
#stanza #token-classification #qtd #license-apache-2.0 #region-us
| # Stanza model for Turkish_German (qtd)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our webs... | [
"# Stanza model for Turkish_German (qtd)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in o... | [
"TAGS\n#stanza #token-classification #qtd #license-apache-2.0 #region-us \n",
"# Stanza model for Turkish_German (qtd)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings sta... |
token-classification | stanza | # Stanza model for Romanian (ro)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](h... | {"language": "ro", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ro | null | [
"stanza",
"token-classification",
"ro",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ro"
] | TAGS
#stanza #token-classification #ro #license-apache-2.0 #has_space #region-us
| # Stanza model for Romanian (ro)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and... | [
"# Stanza model for Romanian (ro)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our webs... | [
"TAGS\n#stanza #token-classification #ro #license-apache-2.0 #has_space #region-us \n",
"# Stanza model for Romanian (ro)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings ... |
token-classification | stanza | # Stanza model for Russian (ru)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "ru", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ru | null | [
"stanza",
"token-classification",
"ru",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ru"
] | TAGS
#stanza #token-classification #ru #license-apache-2.0 #region-us
| # Stanza model for Russian (ru)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Russian (ru)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #ru #license-apache-2.0 #region-us \n",
"# Stanza model for Russian (ru)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Sanskrit (sa)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](h... | {"language": "sa", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-sa | null | [
"stanza",
"token-classification",
"sa",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"sa"
] | TAGS
#stanza #token-classification #sa #license-apache-2.0 #region-us
| # Stanza model for Sanskrit (sa)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and... | [
"# Stanza model for Sanskrit (sa)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our webs... | [
"TAGS\n#stanza #token-classification #sa #license-apache-2.0 #region-us \n",
"# Stanza model for Sanskrit (sa)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-th... |
token-classification | stanza | # Stanza model for Slovak (sk)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "sk", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-sk | null | [
"stanza",
"token-classification",
"sk",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"sk"
] | TAGS
#stanza #token-classification #sk #license-apache-2.0 #has_space #region-us
| # Stanza model for Slovak (sk)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Slovak (sk)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #sk #license-apache-2.0 #has_space #region-us \n",
"# Stanza model for Slovak (sk)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings st... |
token-classification | stanza | # Stanza model for Slovenian (sl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](... | {"language": "sl", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-sl | null | [
"stanza",
"token-classification",
"sl",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"sl"
] | TAGS
#stanza #token-classification #sl #license-apache-2.0 #region-us
| # Stanza model for Slovenian (sl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website an... | [
"# Stanza model for Slovenian (sl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our web... | [
"TAGS\n#stanza #token-classification #sl #license-apache-2.0 #region-us \n",
"# Stanza model for Slovenian (sl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-t... |
token-classification | stanza | # Stanza model for North_Sami (sme)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website... | {"language": "sme", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-sme | null | [
"stanza",
"token-classification",
"sme",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"sme"
] | TAGS
#stanza #token-classification #sme #license-apache-2.0 #region-us
| # Stanza model for North_Sami (sme)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website ... | [
"# Stanza model for North_Sami (sme)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our w... | [
"TAGS\n#stanza #token-classification #sme #license-apache-2.0 #region-us \n",
"# Stanza model for North_Sami (sme)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-o... |
token-classification | stanza | # Stanza model for Serbian (sr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "sr", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-sr | null | [
"stanza",
"token-classification",
"sr",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"sr"
] | TAGS
#stanza #token-classification #sr #license-apache-2.0 #region-us
| # Stanza model for Serbian (sr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Serbian (sr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #sr #license-apache-2.0 #region-us \n",
"# Stanza model for Serbian (sr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Swedish (sv)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "sv", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-sv | null | [
"stanza",
"token-classification",
"sv",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"sv"
] | TAGS
#stanza #token-classification #sv #license-apache-2.0 #region-us
| # Stanza model for Swedish (sv)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Swedish (sv)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #sv #license-apache-2.0 #region-us \n",
"# Stanza model for Swedish (sv)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Swedish_Sign_Language (swl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [... | {"language": "swl", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-swl | null | [
"stanza",
"token-classification",
"swl",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"swl"
] | TAGS
#stanza #token-classification #swl #license-apache-2.0 #region-us
| # Stanza model for Swedish_Sign_Language (swl)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in o... | [
"# Stanza model for Swedish_Sign_Language (swl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about ... | [
"TAGS\n#stanza #token-classification #swl #license-apache-2.0 #region-us \n",
"# Stanza model for Swedish_Sign_Language (swl)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza bri... |
token-classification | stanza | # Stanza model for Tamil (ta)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](http... | {"language": "ta", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ta | null | [
"stanza",
"token-classification",
"ta",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ta"
] | TAGS
#stanza #token-classification #ta #license-apache-2.0 #region-us
| # Stanza model for Tamil (ta)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ou... | [
"# Stanza model for Tamil (ta)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website... | [
"TAGS\n#stanza #token-classification #ta #license-apache-2.0 #region-us \n",
"# Stanza model for Tamil (ta)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-a... |
token-classification | stanza | # Stanza model for Telugu (te)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "te", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-te | null | [
"stanza",
"token-classification",
"te",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"te"
] | TAGS
#stanza #token-classification #te #license-apache-2.0 #region-us
| # Stanza model for Telugu (te)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Telugu (te)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #te #license-apache-2.0 #region-us \n",
"# Stanza model for Telugu (te)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for Thai (th)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](https... | {"language": "th", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-th | null | [
"stanza",
"token-classification",
"th",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"th"
] | TAGS
#stanza #token-classification #th #license-apache-2.0 #region-us
| # Stanza model for Thai (th)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and our... | [
"# Stanza model for Thai (th)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our website ... | [
"TAGS\n#stanza #token-classification #th #license-apache-2.0 #region-us \n",
"# Stanza model for Thai (th)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-ar... |
token-classification | stanza | # Stanza model for Turkish (tr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](ht... | {"language": "tr", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-tr | null | [
"stanza",
"token-classification",
"tr",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"tr"
] | TAGS
#stanza #token-classification #tr #license-apache-2.0 #region-us
| # Stanza model for Turkish (tr)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and ... | [
"# Stanza model for Turkish (tr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websi... | [
"TAGS\n#stanza #token-classification #tr #license-apache-2.0 #region-us \n",
"# Stanza model for Turkish (tr)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the... |
token-classification | stanza | # Stanza model for Uyghur (ug)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](htt... | {"language": "ug", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-ug | null | [
"stanza",
"token-classification",
"ug",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"ug"
] | TAGS
#stanza #token-classification #ug #license-apache-2.0 #region-us
| # Stanza model for Uyghur (ug)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website and o... | [
"# Stanza model for Uyghur (ug)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our websit... | [
"TAGS\n#stanza #token-classification #ug #license-apache-2.0 #region-us \n",
"# Stanza model for Uyghur (ug)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-... |
token-classification | stanza | # Stanza model for Ukrainian (uk)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in [our website](... | {"language": "uk", "license": "apache-2.0", "library_name": "stanza", "tags": ["stanza", "token-classification"]} | stanfordnlp/stanza-uk | null | [
"stanza",
"token-classification",
"uk",
"license:apache-2.0",
"region:us"
] | null | 2022-03-02T23:29:05+00:00 | [] | [
"uk"
] | TAGS
#stanza #token-classification #uk #license-apache-2.0 #region-us
| # Stanza model for Ukrainian (uk)
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.
Find more about it in our website an... | [
"# Stanza model for Ukrainian (uk)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing.\nFind more about it in our web... | [
"TAGS\n#stanza #token-classification #uk #license-apache-2.0 #region-us \n",
"# Stanza model for Ukrainian (uk)\nStanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-t... |
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