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621ffdc036468d709f175164 | DeepPavlov/roberta-large-winogrande | DeepPavlov | null | 80 | 14,052 | False | 2022-03-02T23:29:04Z | 2021-12-24T14:20:49Z | transformers | 1 | 0 | null | text-classification | null | [
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"endpoints_compatible",
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] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForSequenceClassification",
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} | {"base_model": null, "datasets": ["winogrande"], "eval_results": null, "language": ["en"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "widget": [{"text": "The roof of Rachel's home is old and falling apart, ... | # RoBERTa Large model fine-tuned on Winogrande
This model was fine-tuned on Winogrande dataset (XL size) in sequence classification task format, meaning that original pairs of sentences
with corresponding options filled in were separated, shuffled and classified independently of each other.
## Model description
## ... | null | null | [
"winogrande"
] | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
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621ffdc036468d709f175168 | DeepPavlov/xlm-roberta-large-en-ru-mnli | DeepPavlov | null | 111 | 8,013 | False | 2022-03-02T23:29:04Z | 2021-11-15T08:49:43Z | transformers | 2 | 0 | null | text-classification | null | [
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] | 4c4353240f7a90bae788ae6f86861c25a9c31ea1 | [
"transformers",
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"xlm-roberta-large",
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"xlm-roberta-large-en-ru-mnli",
"en",
"ru",
"dataset:glue",
"dataset:mnli",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["XLMRobertaForSequenceClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": f... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["glue", "mnli"], "eval_results": null, "language": ["en", "ru"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["xlm-roberta", "xlm-roberta-large", "xlm-roberta-large-en-ru", "xlm-ro... | # XLM-RoBERTa-Large-En-Ru-MNLI
xlm-roberta-large-en-ru finetuned on mnli. | null | null | [
"glue",
"mnli"
] | [
"en",
"ru"
] | null | null | null | [
"AutoModelForSequenceClassification",
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"xlm-roberta"
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621ffdc036468d709f175169 | DeepPavlov/xlm-roberta-large-en-ru | DeepPavlov | null | 20 | 13,100 | False | 2022-03-02T23:29:04Z | 2021-11-15T08:46:05Z | transformers | 6 | 0 | null | feature-extraction | null | [
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"pytorch_model.bin",
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | da9f180b0d73f4a653f3aaebea87fd586746021d | [
"transformers",
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"feature-extraction",
"en",
"ru",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["XLMRobertaModel"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": ... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "ru"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # XLM-RoBERTa-Large-En-Ru
## Model description
This model is a version XLM-RoBERTa with embeddings and vocabulary reduced to most frequent tokens in English and Russian. | null | null | null | [
"en",
"ru"
] | null | null | null | [
"XLMRobertaModel",
"AutoModel",
"xlm-roberta"
] | [
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"multimodal"
] | [
"text"
] | [
"embeddings"
] |
621ffdc036468d709f17517b | Denny29/DialoGPT-medium-asunayuuki | Denny29 | null | 11 | 1,151 | False | 2022-03-02T23:29:04Z | 2021-09-23T09:34:32Z | transformers | 1 | 0 | null | text-generation | null | [
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"tokenizer_config.json",
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] | 8796e80932953e58dce830f4d764954cf04edf9f | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
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] | [
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] | [
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621ffdc036468d709f17518c | Devid/DialoGPT-small-Miku | Devid | null | 10 | 10 | False | 2022-03-02T23:29:04Z | 2022-01-23T14:35:33Z | transformers | 0 | 0 | null | text-generation | null | [
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"checkpoint-10500/tokenizer.json",
"checkpoint-10500/tok... | 6f68713dc2b12dbbb841b11143283b23d9ef9329 | [
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"pytorch",
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
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621ffdc036468d709f1751a0 | Dilmk2/DialoGPT-small-harrypotter | Dilmk2 | null | 7 | 7 | False | 2022-03-02T23:29:04Z | 2021-08-26T16:56:13Z | transformers | 0 | 0 | null | text-generation | null | [
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"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 3c5157e1bf282c58ce24939e9b15f290a030d04a | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
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621ffdc036468d709f1751a6 | jesseD/homer-bot | jesseD | null | 16 | 1,905 | False | 2022-03-02T23:29:04Z | 2024-04-05T21:53:03Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 354824192, "U8": 25165824}, "total": 379990016} | [
".gitattributes",
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"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 32d40acd06333ede9a689150c26b34953df853c9 | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"en",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | # HomerBot: A conversational chatbot imitating Homer Simpson
This model is a fine-tuned [DialoGPT](https://huggingface.co/microsoft/DialoGPT-medium) (medium version) on Simpsons [scripts](https://www.kaggle.com/datasets/pierremegret/dialogue-lines-of-the-simpsons).
More specifically, we fine-tune DialoGPT-medium for ... | null | null | null | [
"en"
] | 379,990,016 | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
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621ffdc036468d709f1751b9 | Doiman/DialoGPT-medium-harrypotter | Doiman | null | 6 | 6 | False | 2022-03-02T23:29:04Z | 2021-09-03T09:40:14Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | f20ada5e54683fa510125c35b17004e590673287 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
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"text"
] | [
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621ffdc036468d709f1751c8 | DongHai/DialoGPT-small-rick | DongHai | null | 11 | 11 | False | 2022-03-02T23:29:04Z | 2021-09-02T03:49:46Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
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"pytorch_model.bin",
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"training_args.bin",
"vocab.json"
] | 6f955ce1472c2beeb54d9c9fdcf579c64dc9810e | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
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621ffdc036468d709f1751c9 | DongHyoungLee/distilbert-base-uncased-finetuned-cola | DongHyoungLee | null | 4 | 825 | False | 2022-03-02T23:29:04Z | 2021-10-16T11:30:42Z | transformers | 0 | 0 | [{"name": "distilbert-base-uncased-finetuned-cola", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "glue", "type": "glue", "args": "cola"}, "metrics": [{"name": "Matthews Correlation", "type": "matthews_correlation", "value": 0.535587402888147, "verified": false... | text-classification | null | [
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"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["glue"], "license": "apache-2.0", "metrics": ["matthews_correlation"], "tags": ["generated_from_trainer"], "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "ar... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | null | [
"apache-2.0"
] | [
"glue"
] | null | null | null | [
"matthews_correlation"
] | [
"DistilBertForSequenceClassification",
"distilbert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1751cf | Dongmin/testmodel | Dongmin | null | 6 | 519 | False | 2022-03-02T23:29:04Z | 2021-09-10T08:34:55Z | transformers | 1 | 0 | null | null | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 9f7173e20ce3e4751cb6a8a7b74a25851cba9a40 | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f1751d3 | Waynehillsdev/Wayne_NLP_mT5 | Waynehillsdev | null | 38 | 6,003 | False | 2022-03-02T23:29:04Z | 2022-03-24T02:02:30Z | transformers | 0 | 0 | [{"name": "Wayne_NLP_mT5", "results": []}] | null | null | [
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should probably proofread and complete it, then remove this comment. -->
# Wayne_NLP_mT5
This model was trained only english datasets.
if you want trained korean + english model
go to wayne_mulang_mT5.
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621ffdc036468d709f1751e6 | DoyyingFace/bert-COVID-HATE-finetuned-test | DoyyingFace | null | 4 | 651 | False | 2022-03-02T23:29:04Z | 2022-02-10T02:42:21Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f1751ed | DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25 | DoyyingFace | null | 7 | 652 | False | 2022-03-02T23:29:04Z | 2022-02-25T04:28:23Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f1751ee | DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50 | DoyyingFace | null | 5 | 5 | False | 2022-03-02T23:29:04Z | 2022-02-25T04:10:10Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f1751ef | DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | DoyyingFace | null | 4 | 4 | False | 2022-03-02T23:29:04Z | 2022-02-25T04:40:13Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f1751f0 | DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | DoyyingFace | null | 5 | 603 | False | 2022-03-02T23:29:04Z | 2022-02-24T16:20:51Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f1751f1 | DoyyingFace/bert-asian-hate-tweets-asonam-clean | DoyyingFace | null | 8 | 639 | False | 2022-03-02T23:29:04Z | 2022-02-24T13:06:48Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f1751f2 | DoyyingFace/bert-asian-hate-tweets-asonam-unclean | DoyyingFace | null | 4 | 607 | False | 2022-03-02T23:29:04Z | 2022-02-24T13:04:35Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175205 | DoyyingFace/bert-asian-hate-tweets-self-unclean-freeze-8 | DoyyingFace | null | 5 | 5 | False | 2022-03-02T23:29:04Z | 2022-02-25T03:14:45Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175206 | DoyyingFace/bert-asian-hate-tweets-self-unclean-small | DoyyingFace | null | 6 | 6 | False | 2022-03-02T23:29:04Z | 2022-02-26T02:45:51Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175207 | DoyyingFace/bert-asian-hate-tweets-self-unclean | DoyyingFace | null | 3 | 3 | False | 2022-03-02T23:29:04Z | 2022-02-24T10:25:37Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175208 | DoyyingFace/bert-asian-hate-tweets-self-unlean-with-clean-valid | DoyyingFace | null | 5 | 5 | False | 2022-03-02T23:29:04Z | 2022-02-24T15:48:05Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175209 | DoyyingFace/bert-cola-finetuned | DoyyingFace | null | 4 | 769 | False | 2022-03-02T23:29:04Z | 2022-01-22T03:26:38Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f17520a | DoyyingFace/bert-tweets-semeval-clean | DoyyingFace | null | 6 | 7 | False | 2022-03-02T23:29:04Z | 2022-02-24T14:44:21Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f17520b | DoyyingFace/bert-tweets-semeval-unclean | DoyyingFace | null | 4 | 624 | False | 2022-03-02T23:29:04Z | 2022-02-24T14:35:55Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f17520c | DoyyingFace/bert-wiki-comments-finetuned | DoyyingFace | null | 7 | 721 | False | 2022-03-02T23:29:04Z | 2022-01-23T17:26:54Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f17520e | DoyyingFace/doyying_bert_first_again | DoyyingFace | null | 4 | 720 | False | 2022-03-02T23:29:04Z | 2022-01-17T09:00:22Z | transformers | 0 | 0 | [{"name": "tmp_qubhe07", "results": []}] | text-classification | null | [
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probably proofread and complete it, then remove this comment. -->
# tmp_qubhe07
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
## Mo... | null | null | null | null | null | null | null | [
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"bert",
"AutoModelForSequenceClassification"
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621ffdc036468d709f17520f | DoyyingFace/dummy-model | DoyyingFace | null | 3 | 32 | False | 2022-03-02T23:29:04Z | 2022-01-17T05:44:26Z | transformers | 0 | 0 | [{"name": "dummy-model", "results": []}] | fill-mask | null | [
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probably proofread and complete it, then remove this comment. -->
# dummy-model
This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It ach... | null | [
"mit"
] | null | null | null | null | null | [
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621ffdc036468d709f175216 | Dragoniod1596/DialoGPT-small-Legacies | Dragoniod1596 | null | 7 | 7 | False | 2022-03-02T23:29:04Z | 2021-10-15T13:13:44Z | transformers | 0 | 0 | null | text-generation | null | [
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"tokenizer_config.json",
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] | 0e570380ff3d0d8d64261b2078bf595d4167bf12 | [
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f17521b | Dreyzin/DialoGPT-medium-avatar | Dreyzin | null | 11 | 1,712 | False | 2022-03-02T23:29:04Z | 2022-01-19T04:49:52Z | transformers | 0 | 0 | null | text-generation | null | [
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] | 17e49735c4f28d09b15e19b9512d850c08d705e5 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
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"AutoModelForCausalLM",
"gpt2"
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"text"
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"text"
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621ffdc036468d709f1752a9 | Duc/distilbert-base-uncased-finetuned-ner | Duc | null | 8 | 604 | False | 2022-03-02T23:29:04Z | 2021-11-08T01:35:47Z | transformers | 0 | 0 | [{"name": "distilbert-base-uncased-finetuned-ner", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "conll2003", "type": "conll2003", "args": "conll2003"}, "metrics": [{"name": "Precision", "type": "precision", "value": 0.9261715296198055, "verified": false}, {"... | token-classification | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
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} | {"datasets": ["conll2003"], "license": "apache-2.0", "metrics": ["precision", "recall", "f1", "accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "distilbert-base-uncased-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "con... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dist... | null | [
"apache-2.0"
] | [
"conll2003"
] | null | null | null | [
"precision",
"recall",
"f1",
"accuracy"
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"distilbert",
"DistilBertForTokenClassification"
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"token-classification"
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621ffdc036468d709f1752ad | DueLinx0402/DialoGPT-small-harrypotter | DueLinx0402 | null | 4 | 617 | False | 2022-03-02T23:29:04Z | 2021-09-14T13:31:42Z | transformers | 0 | 0 | null | text-generation | null | [
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] | 822dcfa71868992db9a939f10d9e1c74e0d91d9d | [
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"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
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"text"
] |
621ffdc036468d709f1752b0 | Duugu/alexia-bot-test | Duugu | null | 4 | 613 | False | 2022-03-02T23:29:04Z | 2021-09-19T13:18:43Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
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"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
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"vocab.json"
] | 2f97f44ffa4de52075270de0221f9517492d3d35 | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip":... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f1752cb | EColi/sponsorblock-base-v1 | EColi | null | 6 | 1,097 | False | 2022-03-02T23:29:04Z | 2022-01-24T17:23:23Z | transformers | 1 | 0 | [{"name": "out", "results": []}] | null | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"all_results.json",
"config.json",
"pytorch_model.bin",
"rng_state.pth",
"scheduler.pt",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"train_results.json",
"trainer_state.json",
"training_args.bi... | e1436971b0ad41920ad61198bb7315e3f9d97fc3 | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "out", "pipeline_tag": null, "tags": ["generated_from_trainer"]} | <!-- 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. -->
# out
This model is a fine-tuned version of [/1TB_SSD/SB_AI/out_epoch1/out/checkpoint-1115000/](https://huggingface.co//1TB_SSD/SB_... | null | null | null | null | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f1752cd | EEE/DialoGPT-medium-brooke | EEE | null | 10 | 10 | False | 2022-03-02T23:29:04Z | 2021-09-27T06:25:56Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"checkpoint-10500/config.json",
"checkpoint-10500/merges.txt",
"checkpoint-10500/optimizer.pt",
"checkpoint-10500/pytorch_model.bin",
"checkpoint-10500/scheduler.pt",
"checkpoint-10500/special_tokens_map.json",
"checkpoint-10500/tokenizer.json",
"checkpoint-10500/tok... | 6c5ccd6420a957b3116bbd02f21ed4e5ae1ac59d | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f1752cf | EEE/DialoGPT-small-aang | EEE | null | 9 | 4,430 | False | 2022-03-02T23:29:04Z | 2021-11-13T07:28:08Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"checkpoint-3500/config.json",
"checkpoint-3500/merges.txt",
"checkpoint-3500/optimizer.pt",
"checkpoint-3500/pytorch_model.bin",
"checkpoint-3500/scheduler.pt",
"checkpoint-3500/special_tokens_map.json",
"checkpoint-3500/tokenizer.json",
"checkpoint-3500/tokenizer_c... | 7763800f9df9dada1a6d6ad050e02804aa7f4f9a | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f1752d0 | EEE/DialoGPT-small-yoda | EEE | null | 21 | 21 | False | 2022-03-02T23:29:04Z | 2021-09-22T11:07:59Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | a3ecf50119d57d94b0d93dd18dbacd6474da0a75 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f1752d6 | ELiRF/NASCA | ELiRF | null | 34 | 2,031 | False | 2022-03-02T23:29:04Z | 2023-03-31T11:16:17Z | transformers | 0 | 0 | null | summarization | {"parameters": {"F32": 415271520}, "total": 415271520} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | a655bc594c1fa70321dd3d98569cae3a2f1abc86 | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"summarization",
"ca",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "n... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "ca", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["summarization"], "widget": [{"text": "La Universitat Polit\u00e8cnica de Val\u00e8ncia (U... | **IMPORTANT:** On the 5th of April 2022, we detected a mistake in the configuration file; thus, the model was not generating the summaries correctly, and it was underperforming in all scenarios. For this reason, if you had used the model until that day, we would be glad if you would re-evaluate the model if you are pub... | null | null | null | [
"ca"
] | 415,271,520 | null | null | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"summarization"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f1752d7 | ELiRF/NASES | ELiRF | null | 544 | 12,620 | False | 2022-03-02T23:29:04Z | 2023-07-18T11:28:43Z | transformers | 3 | 0 | null | summarization | {"parameters": {"F32": 415271520}, "total": 415271520} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 0849234b85c8aeb721651b5de41843be3905f96a | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"summarization",
"es",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "n... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "es", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["summarization"], "widget": [{"text": "La Agencia Valenciana de la Innovaci\u00f3n (AVI) f... | **IMPORTANT:** On the 5th of April 2022, we detected a mistake in the configuration file; thus, the model was not generating the summaries correctly, and it was underperforming in all scenarios. For this reason, if you had used the model until that day, we would be glad if you would re-evaluate the model if you are pub... | null | null | null | [
"es"
] | 415,271,520 | null | null | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"summarization"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f1752db | EMBEDDIA/est-roberta | EMBEDDIA | null | 266 | 5,886 | False | 2022-03-02T23:29:04Z | 2021-11-29T12:17:46Z | transformers | 4 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"dict.txt",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 5b36f40096f68a25c6a47376b0715218687ab8f8 | [
"transformers",
"pytorch",
"camembert",
"fill-mask",
"et",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["CamembertForMaskedLM"], "model_type": "camembert", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["et"], "library_name": null, "license": "cc-by-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Usage
Load in transformers library with:
```
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("EMBEDDIA/est-roberta")
model = AutoModelForMaskedLM.from_pretrained("EMBEDDIA/est-roberta")
```
# Est-RoBERTa
Est-RoBERTa model is a monolingual Estonian BERT-li... | null | [
"cc-by-sa-4.0"
] | null | [
"et"
] | null | null | null | [
"CamembertForMaskedLM",
"AutoModelForMaskedLM",
"camembert"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1752dd | EMBEDDIA/litlat-bert | EMBEDDIA | null | 147 | 17,850 | False | 2022-03-02T23:29:04Z | 2022-02-28T13:46:36Z | transformers | 5 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"dict.txt",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 0ff2fcc527af01aa224c997f8159b6ede2fdd034 | [
"transformers",
"pytorch",
"xlm-roberta",
"fill-mask",
"lt",
"lv",
"en",
"multilingual",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["XLMRobertaForMaskedLM"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normali... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["lt", "lv", "en", "multilingual"], "library_name": null, "license": "cc-by-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # LitLat BERT
LitLat BERT is a trilingual model, using xlm-roberta-base architecture, trained on Lithuanian, Latvian, and English corpora. Focusing on three languages, the model performs better than [multilingual BERT](https://huggingface.co/bert-base-multilingual-cased), while still offering an option for cross-lingua... | null | [
"cc-by-sa-4.0"
] | null | [
"lt",
"lv",
"en",
"multilingual"
] | null | null | null | [
"AutoModelForMaskedLM",
"xlm-roberta",
"XLMRobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1752e0 | EMBEDDIA/sloberta | EMBEDDIA | null | 1,270 | 219,410 | False | 2022-03-02T23:29:04Z | 2021-11-24T13:46:22Z | transformers | 5 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"dict.txt",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 49db152a3bea54016773be3cce126a9b5ece88da | [
"transformers",
"pytorch",
"camembert",
"fill-mask",
"sl",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["CamembertForMaskedLM"], "model_type": "camembert", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["sl"], "library_name": null, "license": "cc-by-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Usage
Load in transformers library with:
```
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("EMBEDDIA/sloberta")
model = AutoModelForMaskedLM.from_pretrained("EMBEDDIA/sloberta")
```
# SloBERTa
SloBERTa model is a monolingual Slovene BERT-like model. It... | null | [
"cc-by-sa-4.0"
] | null | [
"sl"
] | null | null | null | [
"CamembertForMaskedLM",
"AutoModelForMaskedLM",
"camembert"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1752e2 | EMBO/sd-ner | EMBO | null | 14 | 2,385 | False | 2022-03-02T23:29:04Z | 2022-03-27T13:27:31Z | transformers | 0 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | fe2334a8c79041d82076742612235b04fb191f36 | [
"transformers",
"pytorch",
"jax",
"roberta",
"token-classification",
"token classification",
"dataset:EMBO/sd-nlp",
"license:agpl-3.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["EMBO/sd-nlp"], "eval_results": null, "language": null, "library_name": null, "license": "agpl-3.0", "license_name": null, "license_link": null, "metrics": [null], "model_name": null, "pipeline_tag": null, "tags": ["token classification"], "thumbnail": null} | # sd-ner
## Model description
This model is a [RoBERTa base model](https://huggingface.co/roberta-base) that was further trained using a masked language modeling task on a compendium of English scientific textual examples from the life sciences using the [BioLang dataset](https://huggingface.co/datasets/EMBO/biolang)... | null | [
"agpl-3.0"
] | [
"EMBO/sd-nlp"
] | null | null | null | [
null
] | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1752e3 | EMBO/sd-panelization | EMBO | null | 9 | 770 | False | 2022-03-02T23:29:04Z | 2022-03-27T13:21:35Z | transformers | 0 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | c476892a1212dd44da88d3b3126a933205b7ab11 | [
"transformers",
"pytorch",
"jax",
"roberta",
"token-classification",
"dataset:EMBO/sd-nlp",
"license:agpl-3.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["EMBO/sd-nlp"], "eval_results": null, "language": null, "library_name": null, "license": "agpl-3.0", "license_name": null, "license_link": null, "metrics": [null], "model_name": null, "pipeline_tag": null, "tags": null, "thumbnail": null} | # sd-panelization
## Model description
This model is a [RoBERTa base model](https://huggingface.co/roberta-base) that was further trained using a masked language modeling task on a compendium of english scientific textual examples from the life sciences using the [BioLang dataset](https://huggingface.co/datasets/EMBO... | null | [
"agpl-3.0"
] | [
"EMBO/sd-nlp"
] | null | null | null | [
null
] | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1752f2 | ESPersonnel/DialoGPT-small-got | ESPersonnel | null | 11 | 11 | False | 2022-03-02T23:29:04Z | 2021-08-28T20:16:53Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 467ce93aec63e38b7c93deaec5aa2e677cf0c214 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f175332 | Eagle3ye/DialoGPT-small-PeppaPig | Eagle3ye | null | 5 | 683 | False | 2022-03-02T23:29:04Z | 2021-08-27T15:03:14Z | transformers | 1 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 9d5c9a5d1a24e96828b9e76372fce5e7c443648f | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f175336 | EasthShin/Chatbot-LisaSimpson-DialoGPT | EasthShin | null | 10 | 1,450 | False | 2022-03-02T23:29:04Z | 2021-07-27T09:43:03Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 575b7cdca4406fd38619563e754a27da546c65f0 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f175338 | EasthShin/Klue-CommonSense-model | EasthShin | null | 20 | 1,359 | False | 2022-03-02T23:29:04Z | 2021-07-12T10:01:36Z | transformers | 0 | 0 | null | question-answering | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 4f01be2e2b74f65ba541d9a75839008e6fd98b59 | [
"transformers",
"pytorch",
"bert",
"question-answering",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForQuestionAnswering"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForQuestionAnswering",
"custom_class": null,
"pipeline_tag": "question-answering",
"processor": "AutoTokenizer"
} | null | #### Klue-bert base for Common Sense QA
#### Klue-CommonSense-model DEMO: [Ainize DEMO](https://main-klue-common-sense-qa-east-h-shin.endpoint.ainize.ai/)
#### Klue-CommonSense-model API: [Ainize API](https://ainize.ai/EastHShin/Klue-CommonSense_QA?branch=main)
### Overview
**Language model**: klue/bert-base
<br>
*... | null | null | null | null | null | null | null | [
"AutoModelForQuestionAnswering",
"bert",
"BertForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f175339 | EasthShin/Youth_Chatbot_Kogpt2-base | EasthShin | null | 24 | 3,413 | False | 2022-03-02T23:29:04Z | 2021-08-22T16:28:22Z | transformers | 1 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 4fb38f9a359bf509d915e47520139f8a9b5e1322 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"bos_token": "</s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | ## Youth_Chatbot_KoGPT2-base
**Demo Web**: [Ainize Endpoint](https://main-youth-chatbot-ko-gpt2-base-east-h-shin.endpoint.ainize.ai/)
<br>
**Demo Web Code**: [Github](https://github.com/EastHShin/Youth_Chatbot_KoGPT2-base)
<br>
**Youth-Chatbot API**: [Ainize API](https://ainize.ai/EastHShin/Youth_Chatbot_KoGPT2-base_A... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f17533b | Ebtihal/ArBERTMo | Ebtihal | null | 14 | 545 | False | 2022-03-02T23:29:04Z | 2021-07-05T18:44:46Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"New-file.txt",
"README.md",
"config.json",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json"
] | 07d5c1dcfac0e5444467938a928ed44b785640a9 | [
"transformers",
"tf",
"camembert",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["CamembertForMaskedLM"], "model_type": "camembert", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"CamembertForMaskedLM",
"AutoModelForMaskedLM",
"camembert"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f175342 | Ebtihal/AraBertMo_base_V7 | Ebtihal | null | 3 | 561 | False | 2022-03-02T23:29:04Z | 2022-03-16T13:27:40Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 99fc7ed855c80bc13aa4ea198209423057ab86ef | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | # Arabic BERT Model
**AraBERTMo** is an Arabic pre-trained language model based on [Google's BERT architechture](https://github.com/google-research/bert).
AraBERTMo_base uses the same BERT-Base config.
AraBERTMo_base now comes in 10 new variants
All models are available on the `HuggingFace` model page under the [Ebti... | null | null | null | null | null | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f175344 | Ebtihal/AraBertMo_base_V9 | Ebtihal | null | 3 | 578 | False | 2022-03-02T23:29:04Z | 2022-03-25T07:25:05Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 544c64595b66e043797cce362e816d5870ae2416 | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | # Arabic BERT Model
**AraBERTMo** is an Arabic pre-trained language model based on [Google's BERT architechture](https://github.com/google-research/bert).
AraBERTMo_base uses the same BERT-Base config.
AraBERTMo_base now comes in 10 new variants
All models are available on the `HuggingFace` model page under the [Ebti... | null | null | null | null | null | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f175347 | Ebtihal/AraDiaBERTo | Ebtihal | null | 18 | 484 | False | 2022-03-02T23:29:04Z | 2021-09-16T16:45:45Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | d42d0189866f4ec6a1ec83e7b8ca965c8e1ae678 | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": t... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f175348 | Ebtihal/AraDiaBERTo_V1 | Ebtihal | null | 4 | 482 | False | 2022-03-02T23:29:04Z | 2021-09-17T14:04:50Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | a1a25afe637b00847db26a6b15ac04c48aac892b | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": t... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f17534b | Ebtihal/EsperBERTo | Ebtihal | null | 4 | 1,002 | False | 2022-03-02T23:29:04Z | 2021-07-06T19:17:37Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 65b6c1eb70c5406fb5c6e45a423d5c26d9804017 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normaliz... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f17534e | Ebtihal/dummy-model | Ebtihal | null | 3 | 446 | False | 2022-03-02T23:29:04Z | 2021-07-06T11:32:10Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | e4310eed8389fb9f1d09aac31a158c1b1fd3826f | [
"transformers",
"tf",
"bert",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f175380 | EhsanAghazadeh/bert-base-uncased-random-weights | EhsanAghazadeh | null | 2 | 932 | False | 2022-03-02T23:29:04Z | 2021-09-04T20:23:37Z | transformers | 0 | 0 | null | feature-extraction | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | cf9360a12a84d4eda7c956468a78d4330ba4d161 | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
621ffdc036468d709f175381 | EhsanAghazadeh/bert-based-uncased-sst2-e1 | EhsanAghazadeh | null | 11 | 1,302 | False | 2022-03-02T23:29:04Z | 2022-01-02T08:30:18Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"config.json",
"optimizer.pt",
"pytorch_model.bin",
"rng_state.pth",
"scheduler.pt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json",
"training_args.bin",
"vocab.txt"
] | e41395c69393fdcd5fe965b91c83f73d65f3c77e | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f175382 | EhsanAghazadeh/bert-based-uncased-sst2-e2 | EhsanAghazadeh | null | 6 | 684 | False | 2022-03-02T23:29:04Z | 2022-01-02T10:20:28Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"config.json",
"optimizer.pt",
"pytorch_model.bin",
"rng_state.pth",
"scheduler.pt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json",
"training_args.bin",
"vocab.txt"
] | 2dd84b894838919c5f824c131261595ed00d6095 | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
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621ffdc036468d709f175383 | EhsanAghazadeh/bert-based-uncased-sst2-e3 | EhsanAghazadeh | null | 8 | 785 | False | 2022-03-02T23:29:04Z | 2022-01-02T11:26:35Z | transformers | 1 | 0 | null | text-classification | null | [
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621ffdc036468d709f175384 | EhsanAghazadeh/bert-based-uncased-sst2-e4 | EhsanAghazadeh | null | 8 | 716 | False | 2022-03-02T23:29:04Z | 2022-01-02T12:55:19Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175385 | EhsanAghazadeh/bert-based-uncased-sst2-e5 | EhsanAghazadeh | null | 12 | 748 | False | 2022-03-02T23:29:04Z | 2022-01-02T14:19:20Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175386 | EhsanAghazadeh/bert-based-uncased-sst2-e6 | EhsanAghazadeh | null | 8 | 722 | False | 2022-03-02T23:29:04Z | 2022-01-02T15:29:17Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175389 | EhsanAghazadeh/electra-base-avg-2e-5-lcc | EhsanAghazadeh | null | 5 | 610 | False | 2022-03-02T23:29:04Z | 2021-08-13T20:20:16Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f17538a | EhsanAghazadeh/electra-base-random-weights | EhsanAghazadeh | null | 6 | 499 | False | 2022-03-02T23:29:04Z | 2021-09-04T20:29:50Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f17538b | EhsanAghazadeh/electra-large-lcc-2e-5-42 | EhsanAghazadeh | null | 6 | 592 | False | 2022-03-02T23:29:04Z | 2021-08-26T13:22:11Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f17538d | EhsanAghazadeh/roberta-base-random-weights | EhsanAghazadeh | null | 6 | 598 | False | 2022-03-02T23:29:04Z | 2021-09-04T20:27:13Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f17538e | EhsanAghazadeh/xlm-roberta-base-lcc-en-2e-5-42 | EhsanAghazadeh | null | 5 | 640 | False | 2022-03-02T23:29:04Z | 2021-08-21T18:45:30Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f17538f | EhsanAghazadeh/xlm-roberta-base-lcc-en-fa-2e-5-42 | EhsanAghazadeh | null | 5 | 666 | False | 2022-03-02T23:29:04Z | 2021-08-21T22:14:58Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175390 | EhsanAghazadeh/xlm-roberta-base-lcc-fa-2e-5-42 | EhsanAghazadeh | null | 5 | 639 | False | 2022-03-02T23:29:04Z | 2021-08-21T18:37:49Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f175391 | EhsanAghazadeh/xlm-roberta-base-random-weights | EhsanAghazadeh | null | 5 | 637 | False | 2022-03-02T23:29:04Z | 2021-08-28T21:27:29Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f175395 | EhsanYB/bert-ehsan-ner-accelerate | EhsanYB | null | 4 | 474 | False | 2022-03-02T23:29:04Z | 2022-01-14T10:50:23Z | transformers | 0 | 0 | null | token-classification | null | [
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} | null | null | null | null | null | null | null | null | null | [
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