modelId stringlengths 4 112 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 21
values | files list | publishedBy stringlengths 2 37 | downloads_last_month int32 0 9.44M | library stringclasses 15
values | modelCard large_stringlengths 0 100k |
|---|---|---|---|---|---|---|---|---|
albert-base-v1 | 2021-01-13T15:08:24.000Z | [
"pytorch",
"tf",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
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"config.json",
"pytorch_model.bin",
"spiece.model",
"tf_model.h5",
"tokenizer.json",
"with-prefix-tf_model.h5"
] | huggingface | 7,474 | transformers | ---
tags:
- exbert
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT Base v1
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github... |
albert-base-v2 | 2021-01-13T15:06:44.000Z | [
"pytorch",
"tf",
"rust",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
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"rust_model.ot",
"spiece.model",
"tf_model.h5",
"tokenizer.json",
"with-prefix-tf_model.h5"
] | huggingface | 218,776 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT Base v2
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-rese... |
albert-large-v1 | 2021-01-13T15:29:06.000Z | [
"pytorch",
"tf",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
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"pytorch_model.bin",
"spiece.model",
"tf_model.h5",
"tokenizer.json",
"with-prefix-tf_model.h5"
] | huggingface | 768 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT Large v1
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-res... |
albert-large-v2 | 2021-01-13T15:35:47.000Z | [
"pytorch",
"tf",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
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] | huggingface | 7,831 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT Large v2
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-res... |
albert-xlarge-v1 | 2021-01-13T15:30:39.000Z | [
"pytorch",
"tf",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
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] | huggingface | 242 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT XLarge v1
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-re... |
albert-xlarge-v2 | 2021-01-13T15:34:57.000Z | [
"pytorch",
"tf",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
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] | huggingface | 4,934 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT XLarge v2
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-re... |
albert-xxlarge-v1 | 2021-01-13T15:32:02.000Z | [
"pytorch",
"tf",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
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] | huggingface | 498 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT XXLarge v1
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-r... |
albert-xxlarge-v2 | 2021-01-13T15:33:03.000Z | [
"pytorch",
"tf",
"albert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
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] | huggingface | 33,017 | transformers | ---
tags:
- exbert
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT XXLarge v2
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://gith... |
bert-base-cased-finetuned-mrpc | 2021-05-18T16:08:38.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
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"flax_model.msgpack",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 27,304 | transformers | |
bert-base-cased | 2021-05-18T16:12:11.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
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"tokenizer_config.json",
"vocab.txt"
] | huggingface | 1,975,177 | transformers | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT base model (cased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https:... |
bert-base-chinese | 2021-05-18T16:13:18.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"zh",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
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"flax_model.msgpack",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 1,354,537 | transformers | ---
language: zh
---
|
bert-base-german-cased | 2021-05-18T16:14:28.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"de",
"transformers",
"license:mit",
"exbert",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 95,565 | transformers | ---
language: de
license: mit
thumbnail: https://static.tildacdn.com/tild6438-3730-4164-b266-613634323466/german_bert.png
tags:
- exbert
---
<a href="https://huggingface.co/exbert/?model=bert-base-german-cased">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
# German BERT
![bert_im... |
bert-base-german-dbmdz-cased | 2021-05-18T16:15:21.000Z | [
"pytorch",
"jax",
"bert",
"masked-lm",
"de",
"transformers",
"license:mit",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 2,198 | transformers | ---
language: de
license: mit
---
|
bert-base-german-dbmdz-uncased | 2021-05-18T16:16:25.000Z | [
"pytorch",
"jax",
"bert",
"masked-lm",
"de",
"transformers",
"license:mit",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 39,983 | transformers | ---
language: de
license: mit
---
|
bert-base-multilingual-cased | 2021-05-18T16:18:16.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"multilingual",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
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"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 649,885 | transformers | ---
language: multilingual
license: apache-2.0
datasets:
- wikipedia
---
# BERT multilingual base model (cased)
Pretrained model on the top 104 languages with the largest Wikipedia using a masked language modeling (MLM) objective.
It was introduced in [this paper](https://arxiv.org/abs/1810.04805) and first released ... |
bert-base-multilingual-uncased | 2021-05-18T16:19:22.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"en",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
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"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 236,072 | transformers | ---
language: en
license: apache-2.0
datasets:
- wikipedia
---
# BERT multilingual base model (uncased)
Pretrained model on the top 102 languages with the largest Wikipedia using a masked language modeling (MLM) objective.
It was introduced in [this paper](https://arxiv.org/abs/1810.04805) and first released in
[this... |
bert-base-uncased | 2021-05-18T16:20:13.000Z | [
"pytorch",
"tf",
"jax",
"rust",
"bert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
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"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 9,435,580 | transformers | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT base model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](http... |
bert-large-cased-whole-word-masking-finetuned-squad | 2021-05-18T16:22:37.000Z | [
"pytorch",
"tf",
"jax",
"tfsavedmodel",
"rust",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0"
] | question-answering | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"rust_model.ot",
"saved_model.tar.gz",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 2,773 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT large model (cased) whole word masking finetuned on SQuAD
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
... |
bert-large-cased-whole-word-masking | 2021-05-18T16:30:05.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
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"tf_model.h5",
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"tokenizer_config.json",
"vocab.txt"
] | huggingface | 8,481 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT large model (cased) whole word masking
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](h... |
bert-large-cased | 2021-05-18T16:33:16.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
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"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt",
"whole-word-masking.tar.gz"
] | huggingface | 72,330 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT large model (cased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.com/g... |
bert-large-uncased-whole-word-masking-finetuned-squad | 2021-05-18T16:35:27.000Z | [
"pytorch",
"tf",
"jax",
"tfsavedmodel",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0"
] | question-answering | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"saved_model.tar.gz",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 1,023,669 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT large model (uncased) whole word masking finetuned on SQuAD
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released i... |
bert-large-uncased-whole-word-masking | 2021-05-18T16:37:36.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 14,760 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT large model (uncased) whole word masking
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository]... |
bert-large-uncased | 2021-05-18T16:40:29.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
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"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt",
"whole-word-masking.tar.gz"
] | huggingface | 384,968 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT large model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.com... |
camembert-base | 2021-06-09T00:01:44.000Z | [
"pytorch",
"tf",
"camembert",
"masked-lm",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"transformers",
"license:mit",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"tf_model.h5",
"tokenizer.json"
] | huggingface | 66,487 | transformers | ---
language: fr
license: mit
datasets:
- oscar
---
# CamemBERT: a Tasty French Language Model
## Introduction
[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based on the RoBERTa model.
It is now available on Hugging Face in 6 different versions with varying number of ... |
ctrl | 2021-04-07T15:20:39.000Z | [
"pytorch",
"tf",
"transformers"
] | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 895 | transformers | ||
distilbert-base-cased-distilled-squad | 2020-12-11T21:23:50.000Z | [
"pytorch",
"tf",
"tfsavedmodel",
"rust",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"transformers",
"license:apache-2.0"
] | question-answering | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"saved_model.tar.gz",
"tf_model.h5",
"tfjs.tar.gz",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 80,434 | transformers | ---
language: "en"
datasets:
- squad
metrics:
- squad
license: apache-2.0
---
# DistilBERT base cased distilled SQuAD
This model is a fine-tune checkpoint of [DistilBERT-base-cased](https://huggingface.co/distilbert-base-cased), fine-tuned using (a second step of) knowledge distillation on SQuAD v1.1.
This model reac... |
distilbert-base-cased | 2020-12-11T21:23:53.000Z | [
"pytorch",
"tf",
"distilbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0"
] | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 1,131,632 | transformers | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# DistilBERT base model (cased)
This model is a distilled version of the [BERT base model](https://huggingface.co/bert-base-cased).
It was introduced in [this paper](https://arxiv.org/abs/1910.01108).
The code for the distillation process can... | |
distilbert-base-german-cased | 2020-12-11T21:23:57.000Z | [
"pytorch",
"distilbert",
"masked-lm",
"de",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 19,689 | transformers | ---
language: de
license: apache-2.0
---
## distilbert-base-german-cased
|
distilbert-base-multilingual-cased | 2020-12-11T21:24:01.000Z | [
"pytorch",
"tf",
"distilbert",
"masked-lm",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 211,868 | transformers | ---
language: multilingual
license: apache-2.0
datasets:
- wikipedia
---
# DistilBERT base multilingual model (cased)
This model is a distilled version of the [BERT base multilingual model](bert-base-multilingual-cased). The code for the distillation process can be found
[here](https://github.com/huggingface/transfor... |
distilbert-base-uncased-distilled-squad | 2020-12-11T21:24:04.000Z | [
"pytorch",
"tf",
"tflite",
"tfsavedmodel",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"transformers",
"license:apache-2.0"
] | question-answering | [
".gitattributes",
"384-8bits.tflite",
"384-fp16.tflite",
"384.tflite",
"README.md",
"config.json",
"pytorch_model.bin",
"saved_model.tar.gz",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 195,361 | transformers | ---
language: en
datasets:
- squad
widget:
- text: "Which name is also used to describe the Amazon rainforest in English?"
context: "The Amazon rainforest (Portuguese: Floresta Amazônica or Amazônia; Spanish: Selva Amazónica, Amazonía or usually Amazonia; French: Forêt amazonienne; Dutch: Amazoneregenwoud), also know... |
distilbert-base-uncased-finetuned-sst-2-english | 2021-02-09T07:59:22.000Z | [
"pytorch",
"tf",
"rust",
"distilbert",
"text-classification",
"en",
"dataset:sst-2",
"transformers",
"license:apache-2.0"
] | text-classification | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 1,313,968 | transformers | ---
language: en
license: apache-2.0
datasets:
- sst-2
---
# DistilBERT base uncased finetuned SST-2
This model is a fine-tune checkpoint of [DistilBERT-base-uncased](https://huggingface.co/distilbert-base-uncased), fine-tuned on SST-2.
This model reaches an accuracy of 91.3 on the dev set (for comparison, Bert bert-... |
distilbert-base-uncased | 2020-12-11T21:24:10.000Z | [
"pytorch",
"tf",
"rust",
"distilbert",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"exbert",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | huggingface | 3,098,325 | transformers | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# DistilBERT base model (uncased)
This model is a distilled version of the [BERT base model](https://huggingface.co/bert-base-uncased). It was
introduced in [this paper](https://arxiv.org/abs/1910.01108). The code for the disti... |
distilgpt2 | 2021-05-21T09:15:46.000Z | [
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"gpt2",
"lm-head",
"causal-lm",
"en",
"dataset:openwebtext",
"transformers",
"exbert",
"license:apache-2.0",
"text-generation"
] | text-generation | [
".gitattributes",
"64.tflite",
"README.md",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 36,774 | transformers | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- openwebtext
---
# DistilGPT2
DistilGPT2 English language model pretrained with the supervision of [GPT2](https://huggingface.co/gpt2) (the smallest version of GPT2) on [OpenWebTextCorpus](https://skylion007.github.io/OpenWebTextCorpus/), a reproduction ... |
distilroberta-base | 2021-05-20T22:47:11.000Z | [
"pytorch",
"tf",
"jax",
"rust",
"roberta",
"masked-lm",
"en",
"dataset:openwebtext",
"transformers",
"exbert",
"license:apache-2.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"dict.txt",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 148,602 | transformers | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- openwebtext
---
# DistilRoBERTa base model
This model is a distilled version of the [RoBERTa-base model](https://huggingface.co/roberta-base). It follows the same training procedure as [DistilBERT](https://huggingface.co/distilbert-base-uncased).
The co... |
gpt2-large | 2021-05-21T09:11:31.000Z | [
"pytorch",
"tf",
"jax",
"rust",
"gpt2",
"lm-head",
"causal-lm",
"transformers",
"text-generation"
] | text-generation | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 173,747 | transformers | Test the full generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
|
gpt2-medium | 2021-05-21T09:17:57.000Z | [
"pytorch",
"tf",
"jax",
"rust",
"gpt2",
"lm-head",
"causal-lm",
"transformers",
"text-generation"
] | text-generation | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 43,199 | transformers | Test the full generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
|
gpt2-xl | 2021-05-21T09:24:52.000Z | [
"pytorch",
"tf",
"rust",
"gpt2",
"lm-head",
"causal-lm",
"transformers",
"text-generation"
] | text-generation | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 31,984 | transformers | Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
|
gpt2 | 2021-05-19T16:25:59.000Z | [
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"gpt2",
"lm-head",
"causal-lm",
"en",
"transformers",
"exbert",
"license:mit",
"text-generation"
] | text-generation | [
".gitattributes",
"64-8bits.tflite",
"64-fp16.tflite",
"64.tflite",
"README.md",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 811,089 | transformers | ---
language: en
tags:
- exbert
license: mit
---
# GPT-2
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in
[this paper](https://d4mucfpksywv.cloudfront.net/better... |
openai-gpt | 2020-12-09T18:29:54.000Z | [
"pytorch",
"tf",
"rust",
"openai-gpt",
"lm-head",
"causal-lm",
"transformers",
"text-generation"
] | text-generation | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 10,830 | transformers | |
roberta-base-openai-detector | 2021-05-21T08:56:30.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | [
".gitattributes",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | huggingface | 887 | transformers | |
roberta-base | 2020-12-11T21:25:32.000Z | [
"pytorch",
"tf",
"jax",
"rust",
"roberta",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"transformers",
"exbert",
"license:mit",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"dict.txt",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 2,243,699 | transformers | ---
language: en
tags:
- exbert
license: mit
datasets:
- bookcorpus
- wikipedia
---
# RoBERTa base model
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1907.11692) and first released in
[this repository](https://github.com... |
roberta-large-mnli | 2021-05-20T19:32:30.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"text-classification",
"transformers",
"license:mit"
] | text-classification | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 435,573 | transformers | ---
license: mit
widget:
- text: "I like you. </s></s> I love you."
---
## roberta-large-mnli
Trained by Facebook, [original source](https://github.com/pytorch/fairseq/tree/master/examples/roberta)
```bibtex
@article{liu2019roberta,
title = {RoBERTa: A Robustly Optimized BERT Pretraining Approach},
author =... |
roberta-large-openai-detector | 2021-05-21T08:58:12.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | [
".gitattributes",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | huggingface | 821 | transformers | |
roberta-large | 2021-05-21T08:57:02.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"masked-lm",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"transformers",
"exbert",
"license:mit",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"vocab.json"
] | huggingface | 841,888 | transformers | ---
language: en
tags:
- exbert
license: mit
datasets:
- bookcorpus
- wikipedia
---
# RoBERTa large model
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1907.11692) and first released in
[this repository](https://github.co... |
t5-11b | 2021-03-18T01:58:45.000Z | [
"pytorch",
"tf",
"t5",
"lm-head",
"seq2seq",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1910.10683",
"transformers",
"summarization",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"spiece.model",
"tf_model.h5",
"tokenizer.json"
] | huggingface | 1,918 | transformers | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
inference: false
---
## Disclaimer
**Before `transformers` v3.5.0**, due do its immense size, `t5-11b` required some special treatment.
If you're using transformers `<= v3.4.0`, `t5-11b` should be loaded with f... |
t5-3b | 2021-03-18T01:58:22.000Z | [
"pytorch",
"tf",
"t5",
"lm-head",
"seq2seq",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1910.10683",
"transformers",
"summarization",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"spiece.model",
"tf_model.h5",
"tokenizer.json"
] | huggingface | 7,022 | transformers | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html)
Pretraining Dataset: [C4](https://huggingface.co/datasets/c4)
Other Community Checkpoints: [here](https://huggingfa... |
t5-base | 2021-03-18T01:56:47.000Z | [
"pytorch",
"tf",
"rust",
"t5",
"lm-head",
"seq2seq",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1910.10683",
"transformers",
"summarization",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"spiece.model",
"tf_model.h5",
"tokenizer.json"
] | huggingface | 206,033 | transformers | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html)
Pretraining Dataset: [C4](https://huggingface.co/datasets/c4)
Other Community Checkpoints: [here](https://huggingfa... |
t5-large | 2021-03-18T01:57:43.000Z | [
"pytorch",
"tf",
"t5",
"lm-head",
"seq2seq",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1910.10683",
"transformers",
"summarization",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"spiece.model",
"tf_model.h5",
"tokenizer.json"
] | huggingface | 102,518 | transformers | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html)
Pretraining Dataset: [C4](https://huggingface.co/datasets/c4)
Other Community Checkpoints: [here](https://huggingfa... |
t5-small | 2021-03-18T01:57:17.000Z | [
"pytorch",
"tf",
"rust",
"t5",
"lm-head",
"seq2seq",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1910.10683",
"transformers",
"summarization",
"translation",
"license:apache-2.0",
"text2text-generation"
] | translation | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"spiece.model",
"tf_model.h5",
"tokenizer.json"
] | huggingface | 260,740 | transformers | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html)
Pretraining Dataset: [C4](https://huggingface.co/datasets/c4)
Other Community Checkpoints: [here](https://huggingfa... |
transfo-xl-wt103 | 2020-12-09T18:29:59.000Z | [
"pytorch",
"tf",
"transfo-xl",
"lm-head",
"causal-lm",
"transformers",
"text-generation"
] | text-generation | [
".gitattributes",
"config.json",
"corpus.bin",
"pytorch_model.bin",
"tf_model.h5",
"vocab.bin",
"vocab.json",
"vocab.pkl"
] | huggingface | 10,156 | transformers | |
xlm-clm-ende-1024 | 2021-03-17T15:02:53.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 16,210 | transformers | |
xlm-clm-enfr-1024 | 2021-03-17T15:02:25.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 200 | transformers | |
xlm-mlm-100-1280 | 2020-12-09T18:30:01.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 3,520 | transformers | |
xlm-mlm-17-1280 | 2020-12-09T18:30:01.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 558 | transformers | |
xlm-mlm-en-2048 | 2020-12-11T21:26:01.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"exbert",
"license:cc-by-nc-4.0",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 1,692 | transformers | ---
tags:
- exbert
license: cc-by-nc-4.0
---
<a href="https://huggingface.co/exbert/?model=xlm-mlm-en-2048">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
|
xlm-mlm-ende-1024 | 2020-12-09T18:30:01.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 3,045 | transformers | |
xlm-mlm-enfr-1024 | 2020-12-09T18:30:01.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 178 | transformers | |
xlm-mlm-enro-1024 | 2020-12-09T18:30:01.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 89 | transformers | |
xlm-mlm-tlm-xnli15-1024 | 2020-12-09T18:30:01.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 810 | transformers | |
xlm-mlm-xnli15-1024 | 2020-12-09T18:30:03.000Z | [
"pytorch",
"tf",
"xlm",
"lm-head",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tf_model.h5",
"vocab.json"
] | huggingface | 971 | transformers | |
xlm-roberta-base | 2020-12-11T21:26:06.000Z | [
"pytorch",
"xlm-roberta",
"masked-lm",
"transformers",
"exbert",
"license:mit",
"fill-mask"
] | fill-mask | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"tokenizer.json"
] | huggingface | 5,526,144 | transformers | ---
tags:
- exbert
license: mit
---
<a href="https://huggingface.co/exbert/?model=xlm-roberta-base">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>
|
xlm-roberta-large-finetuned-conll02-dutch | 2020-10-12T12:57:10.000Z | [
"pytorch",
"rust",
"xlm-roberta",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"sentencepiece.bpe.model",
"tokenizer.json"
] | huggingface | 372 | transformers | |
xlm-roberta-large-finetuned-conll02-spanish | 2020-10-12T12:57:12.000Z | [
"pytorch",
"rust",
"xlm-roberta",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"sentencepiece.bpe.model",
"tokenizer.json"
] | huggingface | 37 | transformers | |
xlm-roberta-large-finetuned-conll03-english | 2020-10-12T12:57:14.000Z | [
"pytorch",
"rust",
"xlm-roberta",
"token-classification",
"transformers"
] | token-classification | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"sentencepiece.bpe.model",
"tokenizer.json"
] | huggingface | 41,346 | transformers | |
xlm-roberta-large-finetuned-conll03-german | 2020-12-11T21:26:10.000Z | [
"pytorch",
"rust",
"xlm-roberta",
"token-classification",
"de",
"transformers"
] | token-classification | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"sentencepiece.bpe.model",
"tokenizer.json"
] | huggingface | 2,803 | transformers | ---
language: de
---
## xlm-roberta-large-finetuned-conll03-german
|
xlm-roberta-large | 2020-10-12T12:57:23.000Z | [
"pytorch",
"xlm-roberta",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"tokenizer.json"
] | huggingface | 110,343 | transformers | |
xlnet-base-cased | 2020-12-09T18:30:03.000Z | [
"pytorch",
"tf",
"rust",
"xlnet",
"lm-head",
"causal-lm",
"transformers",
"text-generation"
] | text-generation | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"rust_model.ot",
"spiece.model",
"tf_model.h5",
"tokenizer.json"
] | huggingface | 72,131 | transformers | |
xlnet-large-cased | 2020-12-09T18:30:03.000Z | [
"pytorch",
"tf",
"xlnet",
"lm-head",
"causal-lm",
"transformers",
"text-generation"
] | text-generation | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"spiece.model",
"tf_model.h5",
"tokenizer.json"
] | huggingface | 25,474 | transformers | |
1712871/manual_vn_electra_small | 2020-11-24T07:55:02.000Z | [] | [
".gitattributes"
] | 1712871 | 0 | |||
1757968399/tinybert_4_312_1200 | 2020-07-27T07:25:03.000Z | [
"pytorch",
"transformers"
] | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"vocab.txt"
] | 1757968399 | 20 | transformers | ||
18811449050/bert_cn_finetuning | 2021-05-18T17:03:47.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | [
".gitattributes",
"config.json",
"eval_results.txt",
"flax_model.msgpack",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.txt"
] | 18811449050 | 29 | transformers | |
18811449050/bert_finetuning_test | 2021-05-18T17:05:20.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | [
".gitattributes",
"config.json",
"eval_results.txt",
"flax_model.msgpack",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.txt"
] | 18811449050 | 31 | transformers | |
1n3skh/idk | 2021-04-11T11:22:17.000Z | [] | [
".gitattributes"
] | 1n3skh | 0 | |||
850886470/xxy_gpt2_chinese | 2021-01-21T05:36:56.000Z | [] | [
".gitattributes"
] | 850886470 | 0 | |||
A-bhimany-u08/bert-base-cased-qqp | 2021-05-23T06:58:51.000Z | [
"pytorch",
"bert",
"text-classification",
"dataset:qqp",
"transformers"
] | text-classification | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer_config.json",
"vocab.txt"
] | A-bhimany-u08 | 211 | transformers |
---
inference: False
datasets:
- qqp
---
bert-base-cased model trained on quora question pair dataset. The task requires to predict whether the two given sentences (or questions) are `not_duplicate` (label 0) or `duplicate` (label 1). The model achieves 89% evaluation accuracy
|
AC/Rec | 2021-04-20T07:38:13.000Z | [] | [
".gitattributes"
] | AC | 0 | |||
AI-Growth/PatentSBERTa | 2021-05-26T11:07:39.000Z | [
"pytorch",
"roberta",
"transformers"
] | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer_config.json",
"vocab.json"
] | AI-Growth | 98 | transformers | ||
AK/ak_nlp | 2021-05-20T11:39:02.000Z | [
"pytorch",
"jax",
"roberta",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"training_args.bin",
"vocab.json"
] | AK | 13 | transformers | |
ALINEAR/albert-japanese-v2 | 2020-05-04T13:20:53.000Z | [
"pytorch",
"albert",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer_config.json"
] | ALINEAR | 1,499 | transformers | |
ALINEAR/albert-japanese | 2020-04-24T16:08:41.000Z | [
"pytorch",
"albert",
"masked-lm",
"transformers",
"fill-mask"
] | fill-mask | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"spiece.model"
] | ALINEAR | 27 | transformers | |
ALaks96/distilbart-cnn-12-6 | 2021-05-18T20:49:10.000Z | [] | [
".gitattributes"
] | ALaks96 | 0 | |||
AaravMonkey/modelRepo | 2021-05-02T10:21:30.000Z | [] | [
".gitattributes"
] | AaravMonkey | 0 | |||
AbdelrahmanZayed/my-awesome-model | 2021-05-30T19:32:35.000Z | [] | [
".gitattributes"
] | AbdelrahmanZayed | 0 | |||
Abhilash/BERTBasePyTorch | 2021-03-03T00:01:52.000Z | [] | [
".gitattributes",
"bert_base.pt"
] | Abhilash | 0 | |||
AbyV/test | 2021-03-22T09:08:09.000Z | [] | [
".gitattributes",
"README.md"
] | AbyV | 0 | |||
AdapterHub/roberta-base-pf-sick | 2021-06-16T16:11:08.000Z | [
"roberta",
"en",
"dataset:sick",
"adapter-transformers"
] | [
".gitattributes",
"README.md",
"adapter_config.json",
"head_config.json",
"pytorch_adapter.bin",
"pytorch_model_head.bin"
] | AdapterHub | 0 | adapter-transformers | ||
Adnan/UrduNewsHeadlines | 2021-03-01T08:43:33.000Z | [] | [
".gitattributes"
] | Adnan | 0 | |||
Aero/Tsubomi-Haruno | 2021-06-14T22:21:24.000Z | [
"pytorch",
"gpt2",
"lm-head",
"causal-lm",
"transformers",
"conversational",
"license:mit",
"text-generation"
] | conversational | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | Aero | 60 | transformers | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
tags:
- conversational
license: mit
---
# DialoGPT Trained on the Speech of a Game Character
```python
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("r3dhummingbird/DialoGPT-medium-joshua")
mod... |
Ahmed59/Demo-Team-5-SIAD | 2021-05-20T11:39:40.000Z | [
"tf",
"roberta",
"text-classification",
"transformers"
] | text-classification | [
".gitattributes",
"added_tokens.json",
"bpe.codes",
"config.json",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer_config.json",
"vocab.txt"
] | Ahmed59 | 19 | transformers | |
AimB/konlpy_berttokenizer_helsinki | 2021-04-26T14:33:19.000Z | [] | [
".gitattributes",
"BertStyleMecab/aihub-vocab.txt",
"BertStyleMecab/helsinki-vocab.txt",
"BertStyleMecab/notag-vocab.txt"
] | AimB | 0 | |||
AimB/mT5-en-kr-aihub-netflix | 2021-04-27T01:00:11.000Z | [] | [
".gitattributes",
"outputs/config.json",
"outputs/eval_results.txt",
"outputs/model_args.json",
"outputs/pytorch_model.bin",
"outputs/special_tokens_map.json",
"outputs/spiece.model",
"outputs/tokenizer_config.json",
"outputs/training_args.bin",
"outputs/training_progress_scores.csv",
"outputs/b... | AimB | 0 | |||
AimB/mT5-en-kr-natural | 2021-04-28T12:47:22.000Z | [
"pytorch",
"mt5",
"seq2seq",
"transformers",
"text2text-generation"
] | text2text-generation | [
".gitattributes",
"README.md",
"config.json",
"eval.py",
"eval_results.txt",
"model_args.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer_config.json",
"training_args.bin",
"training_progress_scores.csv",
"best_model/config.json",
"best_model/eval_results.t... | AimB | 57 | transformers | you can use this model with simpletransfomers.
```
!pip install simpletransformers
from simpletransformers.t5 import T5Model
model = T5Model("mt5", "AimB/mT5-en-kr-natural")
print(model.predict(["I feel good today"]))
print(model.predict(["우리집 고양이는 세상에서 제일 귀엽습니다"]))
``` |
AimB/mT5-en-kr-opus | 2021-04-28T09:35:07.000Z | [] | [
".gitattributes",
"eval_results.txt"
] | AimB | 0 | |||
Akashpb13/xlsr_maltese_wav2vec2 | 2021-04-01T17:44:58.000Z | [
"pytorch",
"wav2vec2",
"mt",
"dataset:common_voice",
"transformers",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0"
] | automatic-speech-recognition | [
".gitattributes",
"README.md",
"config.json",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer_config.json",
"vocab.json"
] | Akashpb13 | 18 | transformers | ---
language: mt
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Maltese by Akash PB
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common... |
Al/mymodel | 2021-02-09T17:55:49.000Z | [] | [
".gitattributes"
] | Al | 0 | |||
Alaeddin/convbert-base-turkish-ner-cased | 2021-04-13T20:20:58.000Z | [
"pytorch",
"convbert",
"token-classification",
"transformers"
] | token-classification | [
".gitattributes",
"README.md",
"all_results.json",
"config.json",
"eval_results.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer_config.json",
"train_results.json",
"trainer_state.json",
"training_args.bin",
"vocab.txt"
] | Alaeddin | 39 | transformers | |
Alberto15Romero/GptNeo | 2021-06-15T09:26:49.000Z | [] | [
".gitattributes"
] | Alberto15Romero | 0 | |||
Alessandro/model_name | 2021-05-08T10:24:02.000Z | [] | [
".gitattributes"
] | Alessandro | 0 | |||
AlexDemon/Alex | 2021-02-28T09:17:33.000Z | [] | [
".gitattributes"
] | AlexDemon | 0 | |||
AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru | 2021-06-13T19:37:16.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers"
] | question-answering | [
".gitattributes",
"config.json",
"pytorch_model.bin"
] | AlexKay | 27 | transformers |
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