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621ffdc036468d709f174ae7 | ArBert/roberta-base-finetuned-ner-kmeans | ArBert | null | 6 | 1,187 | False | 2022-03-02T23:29:04Z | 2022-02-12T16:54:18Z | transformers | 0 | 0 | [{"name": "roberta-base-finetuned-ner-kmeans", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "conll2003", "type": "conll2003", "args": "conll2003"}, "metrics": [{"name": "Precision", "type": "precision", "value": 0.955868544600939, "verified": false}, {"name"... | token-classification | null | [
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should probably proofread and complete it, then remove this comment. -->
# roberta-base-finetuned-ner-kmeans
This model is a fine-tuned version of [ArBert/roberta-base-finetuned-ner](https://huggingface.c... | null | [
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621ffdc036468d709f174ae8 | ArBert/roberta-base-finetuned-ner | ArBert | null | 11 | 969 | False | 2022-03-02T23:29:04Z | 2022-02-03T16:42:50Z | transformers | 0 | 0 | [{"name": "roberta-base-finetuned-ner", "results": []}] | token-classification | null | [
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should probably proofread and complete it, then remove this comment. -->
# roberta-base-finetuned-ner
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None ... | null | [
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621ffdc036468d709f174ae9 | ArJakusz/DialoGPT-small-stark | ArJakusz | null | 7 | 836 | False | 2022-03-02T23:29:04Z | 2021-11-16T02:52:15Z | transformers | 1 | 0 | null | text-generation | null | [
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621ffdc036468d709f174af2 | Aran/DialoGPT-medium-harrypotter | Aran | null | 8 | 1,199 | False | 2022-03-02T23:29:04Z | 2021-11-21T19:35:20Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174af3 | Aran/DialoGPT-small-harrypotter | Aran | null | 2 | 802 | False | 2022-03-02T23:29:04Z | 2021-11-21T15:02:02Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174afd | Arcktosh/DialoGPT-small-rick | Arcktosh | null | 3 | 803 | False | 2022-03-02T23:29:04Z | 2021-09-03T19:05:23Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174b03 | AriakimTaiyo/DialoGPT-cultured-Kumiko | AriakimTaiyo | null | 10 | 1,985 | False | 2022-03-02T23:29:04Z | 2022-02-08T14:19:47Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174b05 | AriakimTaiyo/DialoGPT-revised-Kumiko | AriakimTaiyo | null | 2 | 821 | False | 2022-03-02T23:29:04Z | 2022-02-03T17:14:06Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174b06 | AriakimTaiyo/DialoGPT-small-Kumiko | AriakimTaiyo | null | 7 | 822 | False | 2022-03-02T23:29:04Z | 2022-02-02T23:09:37Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174b07 | AriakimTaiyo/DialoGPT-small-Rikka | AriakimTaiyo | null | 3 | 962 | False | 2022-03-02T23:29:04Z | 2022-02-04T17:37:21Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174b1c | Aron/distilbert-base-uncased-finetuned-emotion | Aron | null | 13 | 1,041 | False | 2022-03-02T23:29:04Z | 2022-02-23T10:34:14Z | transformers | 0 | 0 | [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "emotion", "type": "emotion", "args": "default"}, "metrics": [{"name": "Accuracy", "type": "accuracy", "value": 0.92, "verified": false}, {"name": "F1", "type":... | text-classification | null | [
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should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/... | null | [
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621ffdc036468d709f174b27 | ArtemisZealot/DialoGTP-small-Qkarin | ArtemisZealot | null | 6 | 887 | False | 2022-03-02T23:29:04Z | 2021-09-05T17:58:42Z | transformers | 0 | 0 | null | text-generation | null | [
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"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | a56be3b66c7c316dd9415223453bf105dfb82cc7 | [
"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"
] |
621ffdc036468d709f174b2a | Aruden/DialoGPT-medium-harrypotterall | Aruden | null | 6 | 961 | False | 2022-03-02T23:29:04Z | 2021-09-21T13:19:10Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
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"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | e947bfe50a640a85de4e64f9f4dee58d8f3addf5 | [
"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",
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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"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174b2c | ielabgroup/BiTAG-t5-large | ielabgroup | null | 5 | 1,367 | False | 2022-03-02T23:29:04Z | 2024-08-16T11:52:06Z | transformers | 1 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
] | b6516f4f93f8508766d7f70c5ed51b0e4ccc6e0a | [
"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"
} | {"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": null, "inference": {"parameters": {"do_sample": true, "max_length": 500, "top_p": 0.9, "top... | ```python
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
model = AutoModelForSeq2SeqLM.from_pretrained("ArvinZhuang/BiTAG-t5-large")
tokenizer = AutoTokenizer.from_pretrained("ArvinZhuang/BiTAG-t5-large")
text = "abstract: [your abstract]" # use 'title:' as the prefix for title_to_abs task.
input_ids ... | null | null | null | null | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f174b2d | AryanLala/autonlp-Scientific_Title_Generator-34558227 | AryanLala | null | 24 | 5,533 | False | 2022-03-02T23:29:04Z | 2025-12-08T16:38:41Z | transformers | 20 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sample_input.pkl",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
] | 8357d1fa9717d6727d3c4beab38ad4b1cdca09c2 | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"autonlp",
"en",
"dataset:AryanLala/autonlp-data-Scientific_Title_Generator",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["PegasusForConditionalGeneration"], "model_type": "pegasus", "tokenizer_config": {"pad_token": "<pad>", "eos_token": "</s>", "unk_token": "<unk>", "mask_token": "<mask_2>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["AryanLala/autonlp-data-Scientific_Title_Generator"], "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": ["autonlp"], "widget": [{"text": "The scal... | # Model Trained Using AutoNLP
- Model: Google's Pegasus (https://huggingface.co/google/pegasus-xsum)
- Problem type: Summarization
- Model ID: 34558227
- CO2 Emissions (in grams): 137.60574081887984
- Spaces: https://huggingface.co/spaces/TitleGenerators/ArxivTitleGenerator
- Dataset: arXiv Dataset (https://www.kaggle.... | null | null | [
"AryanLala/autonlp-data-Scientific_Title_Generator"
] | [
"en"
] | null | null | null | [
"pegasus",
"PegasusForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f174b3d | Ashkanmh/bert-base-parsbert-uncased-finetuned | Ashkanmh | null | 4 | 758 | False | 2022-03-02T23:29:04Z | 2021-09-08T20:56:15Z | transformers | 0 | 0 | {"error": "Schema validation error. \"model-index[0].results[0].metrics\" is required"} | fill-mask | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
"runs/Sep08_16-06-56_9933958aab4f/1631117249.8478718/events.out.tfevents.1631117249.9933958aab4f.117.1",
"runs/Sep08_16-06-56_9933958aab4f/events.out.tfevents.1631117249.9933958aab4f.117.0",
"runs/Sep08_16-06-56_9933958aa... | a042a203ef9c8956f605b5b5d797255d86fc4f23 | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"generated_from_trainer",
"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"
} | {"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": ["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. -->
# bert-base-parsbert-uncased-finetuned
This model is a fine-tuned version of [HooshvareLab/bert-base-parsbert-uncased](https://hugg... | null | null | null | null | null | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174b4a | Aspect11/DialoGPT-Medium-LiSBot | Aspect11 | null | 6 | 1,098 | False | 2022-03-02T23:29:04Z | 2023-09-10T12:19:44Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 354823168, "U8": 25165824}, "total": 379988992} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 644b773b34753edf19d4f00611d9d17be91f37bd | [
"transformers",
"pytorch",
"safetensors",
"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"]} | A discord chatbot trained on the whole LiS script to simulate character speech | null | null | null | null | 379,988,992 | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174b4f | Asuramaru/DialoGPT-small-rintohsaka | Asuramaru | null | 10 | 906 | False | 2022-03-02T23:29:04Z | 2023-08-07T16:46:35Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 124439808, "U8": 12582912}, "total": 137022720} | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 072cae9e1f2fc2211b85310cc5618b2dd4dbd807 | [
"transformers",
"pytorch",
"safetensors",
"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 | 137,022,720 | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174b51 | Atampy26/GPT-Glacier | Atampy26 | null | 6 | 832 | False | 2022-03-02T23:29:04Z | 2021-06-26T02:35:30Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 075c5fd3d4e61b4aa5d381de76bbffa3efd1c3f4 | [
"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 | GPT-Glacier, a GPT-Neo 125M model finetuned on the Glacier2 Modding Discord server. | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174b56 | Atchuth/DialoGPT-small-MichaelBot | Atchuth | null | 7 | 5,449 | False | 2022-03-02T23:29:04Z | 2025-06-25T13:55:00Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 124439808, "U8": 12582912}, "total": 137022720} | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"scheduler.pt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | ef883c6d44ea081289fbb0f831ba3fcafc19107d | [
"transformers",
"pytorch",
"safetensors",
"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 | 137,022,720 | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174b63 | Augustvember/WOKKAWOKKA | Augustvember | null | 6 | 877 | False | 2022-03-02T23:29:04Z | 2021-08-11T04:34:45Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | b956bb2d50e9623922fa950e5009b18bbcdd470a | [
"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"
] |
621ffdc036468d709f174b6f | Augustvember/test | Augustvember | null | 6 | 783 | False | 2022-03-02T23:29:04Z | 2021-08-10T07:40:50Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 2a840066c4ae4e6ea96ab9368541cb6a6cc9ec90 | [
"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"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174b74 | Augustvember/wokkabottest2 | Augustvember | null | 4 | 805 | False | 2022-03-02T23:29:04Z | 2021-08-09T02:56:01Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map (1).json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | c72656a6d8db3a879aed1eaed185a826e953908f | [
"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"
] |
621ffdc036468d709f174bcf | AvatarXD/DialoGPT-medium-Blitzo | AvatarXD | null | 14 | 1,765 | False | 2022-03-02T23:29:04Z | 2021-09-23T23:59:54Z | 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"
] | 5d3d5f6a3f90a06bd468e0eb03dbf042a4bd55f1 | [
"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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621ffdc036468d709f174bd2 | Awsaf/DialoGPT-medium-eren | Awsaf | null | 11 | 4,909 | False | 2022-03-02T23:29:04Z | 2021-09-21T07:51:25Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174bd3 | Awsaf/large-eren | Awsaf | null | 3 | 861 | False | 2022-03-02T23:29:04Z | 2021-09-21T14:38:33Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174bd4 | Axcel/DialoGPT-small-rick | Axcel | null | 9 | 815 | False | 2022-03-02T23:29:04Z | 2021-09-13T18:16:03Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174bf3 | Aybars/XLM_Turkish | Aybars | null | 9 | 568 | False | 2022-03-02T23:29:04Z | 2022-02-15T10:31:35Z | transformers | 0 | 0 | null | question-answering | null | [
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621ffdc036468d709f174bfb | Ayham/bert_bert_summarization_cnn_dailymail | Ayham | null | 31 | 712 | False | 2022-03-02T23:29:04Z | 2022-02-21T08:57:52Z | transformers | 1 | 0 | [{"name": "bert_bert_summarization_cnn_dailymail", "results": []}] | null | null | [
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should probably proofread and complete it, then remove this comment. -->
# bert_bert_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymail data... | null | null | [
"cnn_dailymail"
] | null | null | null | null | [
"AutoModelForSeq2SeqLM",
"EncoderDecoderModel",
"encoder-decoder"
] | [
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] | null | null | null |
621ffdc036468d709f174c0d | Ayham/roberta_roberta_summarization_cnn_dailymail | Ayham | null | 29 | 526 | False | 2022-03-02T23:29:04Z | 2022-02-20T21:57:09Z | transformers | 0 | 0 | [{"name": "roberta_roberta_summarization_cnn_dailymail", "results": []}] | null | null | [
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should probably proofread and complete it, then remove this comment. -->
# roberta_roberta_summarization_cnn_dailymail
This model is a fine-tuned version of [](https://huggingface.co/) on the cnn_dailymai... | null | null | [
"cnn_dailymail"
] | null | null | null | null | [
"AutoModelForSeq2SeqLM",
"EncoderDecoderModel",
"encoder-decoder"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f174c1c | Ayjayo/DialoGPT-medium-AyjayoAI | Ayjayo | null | 2 | 524 | False | 2022-03-02T23:29:04Z | 2022-01-27T17:13:10Z | transformers | 0 | 0 | null | text-generation | null | [
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"checkpoint-10500/scheduler.pt",
"checkpoint-10500/special_tokens_map.json",
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"checkpoint-10500/tok... | b16f267e52b3f3e52b963b2ce61e90c575131703 | [
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621ffdc036468d709f174c23 | Ayou/chinese_mobile_bert | Ayou | null | 6 | 1,384 | False | 2022-03-02T23:29:04Z | 2022-03-04T12:49:12Z | transformers | 5 | 0 | null | fill-mask | null | [
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"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
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] | 34618c0214ac41f7e13d5ffc89ad634e16afb25a | [
"transformers",
"pytorch",
"mobilebert",
"fill-mask",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MobileBertForMaskedLM"], "model_type": "mobilebert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForMaskedLM",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | 在2.5亿的中文语料上，进行mobie_bert进行预训练。在单卡-A100下迭代100万 steps,训练15天。 | null | [
"apache-2.0"
] | null | null | null | null | null | [
"mobilebert",
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] | [
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] | [
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] | [
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] |
621ffdc036468d709f174c31 | AyushPJ/ai-club-inductions-21-nlp-ALBERT | AyushPJ | null | 8 | 568 | False | 2022-03-02T23:29:04Z | 2021-10-20T23:28:44Z | transformers | 0 | 0 | [{"name": "ai-club-inductions-21-nlp-ALBERT", "results": []}] | question-answering | null | [
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] | 977dc4cdf568d5b4758aad9c8828da02c15adde6 | [
"transformers",
"pytorch",
"albert",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AlbertForQuestionAnswering"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "n... | {
"auto_model": "AutoModelForQuestionAnswering",
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"pipeline_tag": "question-answering",
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} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "ai-club-inductions-21-nlp-ALBERT", "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. -->
# ai-club-inductions-21-nlp-ALBERT
This model was trained from scratch on an unknown dataset.
## Model description
More informati... | null | null | null | null | null | null | null | [
"AutoModelForQuestionAnswering",
"albert",
"AlbertForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174c32 | AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad | AyushPJ | null | 6 | 587 | False | 2022-03-02T23:29:04Z | 2021-10-26T10:41:20Z | transformers | 0 | 0 | [{"name": "ai-club-inductions-21-nlp-ELECTRA-base-squad", "results": []}] | question-answering | null | [
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] | b51e8a2f05412ca6da79014563e62c33aca6408e | [
"transformers",
"pytorch",
"electra",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ElectraForQuestionAnswering"], "model_type": "electra", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
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} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "ai-club-inductions-21-nlp-ELECTRA-base-squad", "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. -->
# ai-club-inductions-21-nlp-ELECTRA-base-squad
This model is the deepset/electra-base-squad2 pre-trained model trained on data from... | null | null | null | null | null | null | null | [
"electra",
"AutoModelForQuestionAnswering",
"ElectraForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174c33 | AyushPJ/ai-club-inductions-21-nlp-XLNet | AyushPJ | null | 12 | 556 | False | 2022-03-02T23:29:04Z | 2021-10-20T23:09:21Z | transformers | 0 | 0 | [{"name": "ai-club-inductions-21-nlp-XLNet", "results": []}] | question-answering | null | [
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"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
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"training_args.bin"
] | d9026ad0159253bbc2d95378009e6a629a007960 | [
"transformers",
"pytorch",
"xlnet",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLNetForQuestionAnsweringSimple"], "model_type": "xlnet", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "<sep>", "pad_token": "<pad>", "cls_token": "<cls>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "... | {
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"pipeline_tag": "question-answering",
"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": "ai-club-inductions-21-nlp-XLNet", "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. -->
# ai-club-inductions-21-nlp-XLNet
This model was trained from scratch on an unknown dataset.
## Model description
More informatio... | null | null | null | null | null | null | null | [
"xlnet",
"AutoModelForQuestionAnswering",
"XLNetForQuestionAnsweringSimple"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174c34 | AyushPJ/ai-club-inductions-21-nlp-distilBERT | AyushPJ | null | 4 | 530 | False | 2022-03-02T23:29:04Z | 2021-10-20T23:38:45Z | transformers | 0 | 0 | [{"name": "ai-club-inductions-21-nlp-distilBERT", "results": []}] | question-answering | null | [
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".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.txt"
] | 467847f143b2680f92edcc9650f40e4de750de0e | [
"transformers",
"pytorch",
"distilbert",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForQuestionAnswering"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
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} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "ai-club-inductions-21-nlp-distilBERT", "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. -->
# ai-club-inductions-21-nlp-distilBERT
This model was trained from scratch on an unknown dataset.
## Model description
More infor... | null | null | null | null | null | null | null | [
"AutoModelForQuestionAnswering",
"distilbert",
"DistilBertForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174c35 | AyushPJ/ai-club-inductions-21-nlp-roBERTa-base-squad-v2 | AyushPJ | null | 7 | 622 | False | 2022-03-02T23:29:04Z | 2021-10-21T19:08:11Z | transformers | 0 | 0 | [{"name": "ai-club-inductions-21-nlp-roBERTa-base-squad-v2", "results": []}] | question-answering | null | [
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] | a58669cd7df42be1c7c82d5c1b32c205b1599ea8 | [
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} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "ai-club-inductions-21-nlp-roBERTa-base-squad-v2", "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. -->
# ai-club-inductions-21-nlp-roBERTa-base-squad-v2
This model was trained from scratch on an unknown dataset.
## Model description
... | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForQuestionAnswering",
"RobertaForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174c36 | AyushPJ/ai-club-inductions-21-nlp-roBERTa | AyushPJ | null | 9 | 604 | False | 2022-03-02T23:29:04Z | 2021-10-20T22:33:57Z | transformers | 0 | 0 | [{"name": "ai-club-inductions-21-nlp-roBERTa", "results": []}] | question-answering | null | [
".gitattributes",
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"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 813707accc930a7b5b9422e39a0c2f6e789fde0e | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
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"region:us"
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should probably proofread and complete it, then remove this comment. -->
# ai-club-inductions-21-nlp-roBERTa
This model was trained from scratch on an unknown dataset.
## Model description
More informat... | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForQuestionAnswering",
"RobertaForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
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"text"
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621ffdc036468d709f174c37 | AyushPJ/test-squad-trained-finetuned-squad | AyushPJ | null | 4 | 605 | False | 2022-03-02T23:29:04Z | 2021-10-18T11:01:55Z | transformers | 0 | 0 | [{"name": "test-squad-trained-finetuned-squad", "results": []}] | question-answering | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
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"distilbert",
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"dataset:squad",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForQuestionAnswering"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
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"pipeline_tag": "question-answering",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["squad"], "eval_results": [], "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "test-squad-trained-finetuned-squad", "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. -->
# test-squad-trained-finetuned-squad
This model was trained from scratch on the squad dataset.
## Model description
More informat... | null | null | [
"squad"
] | null | null | null | null | [
"AutoModelForQuestionAnswering",
"distilbert",
"DistilBertForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174c3a | Azaghast/DistilBERT-SCP-Class-Classification | Azaghast | null | 4 | 896 | False | 2022-03-02T23:29:04Z | 2021-08-25T10:45:02Z | transformers | 1 | 0 | null | text-classification | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 5e82bbcd6297a7a69eada14f511d724496002beb | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"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"
} | null | null | null | null | null | null | null | null | null | [
"DistilBertForSequenceClassification",
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"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174c42 | Azuris/DialoGPT-medium-envy | Azuris | null | 2 | 844 | False | 2022-03-02T23:29:04Z | 2021-11-21T11:23:19Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
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"pytorch_model.bin",
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"tokenizer_config.json",
"training_args.bin",
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] | 12bfd2c35b53e89f9565c8d91c5198418b226abc | [
"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"
] | [
"text-generation"
] | [
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] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174c43 | Azuris/DialoGPT-medium-senorita | Azuris | null | 6 | 845 | False | 2022-03-02T23:29:04Z | 2021-12-15T10:31:51Z | 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"
] | 3b5bd2937433887a4a5374449c9a84ee7cf1ab03 | [
"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... | {
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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 | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] | |
621ffdc036468d709f174c44 | Azuris/DialoGPT-small-envy | Azuris | null | 3 | 763 | False | 2022-03-02T23:29:04Z | 2021-11-20T18:08:16Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
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"pytorch_model.bin",
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"tokenizer.json",
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] | 54026d21eaaa83bd2d388d95354bee768ec23544 | [
"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 | [
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621ffdc036468d709f174c46 | BAHIJA/distilbert-base-uncased-finetuned-cola | BAHIJA | null | 9 | 987 | False | 2022-03-02T23:29:04Z | 2022-03-13T23:42:41Z | 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": 0.5481326292844919, "verified": fals... | text-classification | null | [
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"tensorboard",
"distilbert",
"text-classification",
"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"
] |
621ffdc036468d709f174c62 | BW/TEST | BW | null | 10 | 4,999 | False | 2022-03-02T23:29:04Z | 2021-09-02T21:47:04Z | 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"
] | e380b220ceb1b4e93639abd969cbaf9dc3446564 | [
"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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] | [
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] | [
"text"
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621ffdc036468d709f174c64 | Babelscape/wikineural-multilingual-ner | Babelscape | null | 591,616 | 13,617,022 | False | 2022-03-02T23:29:04Z | 2023-05-23T08:47:23Z | transformers | 160 | 0 | null | token-classification | {"parameters": {"I64": 512, "F32": 177269769}, "total": 177270281} | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
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"... | bed6ee7a45d2827b6c90a4fd7983f0241ae0a5c1 | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"sequence-tagger-model",
"de",
"en",
"es",
"fr",
"it",
"nl",
"pl",
"pt",
"ru",
"multilingual",
"dataset:Babelscape/wikineural",
"license:cc-by-nc-sa-4.0",
"end... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["Babelscape/wikineural"], "eval_results": null, "language": ["de", "en", "es", "fr", "it", "nl", "pl", "pt", "ru", "multilingual"], "library_name": null, "license": ["cc-by-nc-sa-4.0"], "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": nul... | # WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER
This is the model card for the EMNLP 2021 paper [WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER](https://aclanthology.org/2021.findings-emnlp.215/). We fine-tuned a multilingual languag... | null | [
"cc-by-nc-sa-4.0"
] | [
"Babelscape/wikineural"
] | [
"de",
"en",
"es",
"fr",
"it",
"nl",
"pl",
"pt",
"ru",
"multilingual"
] | 177,270,281 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174c67 | Backedman/DialoGPT-small-Anika | Backedman | null | 12 | 3,364 | False | 2022-03-02T23:29:04Z | 2021-11-18T15:16:27Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"optimizer.pt",
"pytorch_model.bin",
"scheduler.pt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | c9bdba4e72530104497b5686bdd0bd11bd8c00c3 | [
"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"
] |
621ffdc036468d709f174c81 | BalajiSathesh/DialoGPT-small-harrypotter | BalajiSathesh | null | 2 | 711 | False | 2022-03-02T23:29:04Z | 2021-10-20T07:35:25Z | 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"
] | 554442283e191980ce599cdfc128c0b2bc7f80bb | [
"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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621ffdc036468d709f174c9e | Barytes/hellohf | Barytes | null | 12 | 774 | False | 2022-03-02T23:29:04Z | 2021-10-30T03:11:56Z | transformers | 0 | 0 | null | fill-mask | null | [
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"README.md",
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"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert"} | {
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} | {"base_model": null, "datasets": ["bookcorpus", "wikipedia"], "eval_results": null, "language": "en", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["exbert"]} | null | null | [
"apache-2.0"
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"bookcorpus",
"wikipedia"
] | [
"en"
] | null | null | null | [
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621ffdc036468d709f174c9f | Batsy24/DialoGPT-medium-Twilight_BellaBot | Batsy24 | null | 8 | 4,979 | False | 2022-03-02T23:29:04Z | 2021-11-18T09:15:43Z | transformers | 0 | 0 | null | text-generation | null | [
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"pytorch",
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"text-generation",
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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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"gpt2"
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621ffdc036468d709f174ca0 | Batsy24/DialoGPT-small-Twilight_EdBot | Batsy24 | null | 6 | 5,388 | False | 2022-03-02T23:29:04Z | 2021-08-26T20:02:58Z | transformers | 0 | 0 | null | text-generation | null | [
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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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621ffdc036468d709f174cb7 | BearThreat/distilbert-base-uncased-finetuned-cola | BearThreat | null | 12 | 1,234 | False | 2022-03-02T23:29:04Z | 2021-09-29T14:58:36Z | 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": 0.533214904586951, "verified": false... | text-classification | null | [
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"dataset:glue",
"license:apache-2.0",
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] | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
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"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"
] |
621ffdc036468d709f174cd3 | Bee-Garbs/DialoGPT-real-cartman-small | Bee-Garbs | null | 6 | 4,993 | False | 2022-03-02T23:29:04Z | 2021-12-07T01:55:25Z | transformers | 0 | 0 | null | text-generation | null | [
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"tokenizer_config.json",
"training_args.bin",
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] | 906eddd8e689bc80a2b6ed33c0ef5106950b59ca | [
"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... | {
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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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] | [
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] | [
"text"
] | [
"text"
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621ffdc036468d709f174ce5 | BenWitter/DialoGPT-small-Tyrion | BenWitter | null | 2 | 807 | False | 2022-03-02T23:29:04Z | 2021-09-20T17:39:11Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
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"merges.txt",
"pytorch_model.bin",
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"tokenizer.json",
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"vocab.json"
] | 4e897f7bbce4404407f2d50732467dd66350fd84 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
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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... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | \ntags:
-conversational
inference: false
conversational: true
#First time chat bot using a guide, low epoch count due to limited resources. | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
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] | [
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] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174ce7 | Benicio/t5-small-finetuned-en-to-ru | Benicio | null | 13 | 605 | False | 2022-03-02T23:29:04Z | 2021-11-28T14:16:01Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
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... | 6b0c1f6d967cbd4066a7c5edb93619c1bad5234d | [
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"tensorboard",
"t5",
"text2text-generation",
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] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
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"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"t5",
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"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f174d06 | Bhumika/roberta-base-finetuned-sst2 | Bhumika | null | 30 | 10,396 | False | 2022-03-02T23:29:04Z | 2021-10-25T06:17:25Z | transformers | 4 | 0 | [{"name": "roberta-base-finetuned-sst2", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "glue", "type": "glue", "args": "sst2"}, "metrics": [{"name": "Accuracy", "type": "accuracy", "value": 0.944954128440367, "verified": false}]}]}] | text-classification | null | [
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"runs/Oct25_04-47-19_0645c033e4e0/1635138067.2281723/events.out.tfevents.1635138067.0645c033e4e0.77.2",... | eee69c5668a64e30f2e9cc61d3975afc724a7880 | [
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"generated_from_trainer",
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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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"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["glue"], "metrics": ["accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "roberta-base-finetuned-sst2", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "args": "sst2"}, "metrics": [{"type": "accuracy", "... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-finetuned-sst2
This model was trained from scratch on the glue dataset.
It achieves the following results on the eva... | null | null | [
"glue"
] | null | null | null | [
"accuracy"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
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] | [
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] | [
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] | [
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621ffdc036468d709f174d09 | Biasface/DDDC | Biasface | null | 28 | 10,283 | False | 2022-03-02T23:29:04Z | 2022-10-01T22:04:42Z | transformers | 0 | 0 | null | text-generation | null | [
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] | 7f389845c5c57c2392564185959699475ef05bfb | [
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"pytorch",
"gpt2",
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"text-generation-inference",
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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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] | [
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] | [
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] | [
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] | [
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621ffdc036468d709f174d0a | Biasface/DDDC2 | Biasface | null | 4 | 841 | False | 2022-03-02T23:29:04Z | 2021-11-30T17:29:01Z | transformers | 0 | 0 | null | text-generation | null | [
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] | 883c55830d52448e6a1ccb95cc5e9276a378d2b6 | [
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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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"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"
] | [
"text-generation"
] | [
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] | [
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621ffdc036468d709f174d0f | BigSalmon/BestMask2 | BigSalmon | null | 1 | 852 | False | 2022-03-02T23:29:04Z | 2021-09-24T17:42:18Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | c6b89c594ed9db65eb217292034cd7e516a7b92b | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"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"
] | [
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] | [
"text"
] | [
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] |
621ffdc036468d709f174d12 | BigSalmon/Flowberta | BigSalmon | null | 6 | 10,912 | False | 2022-03-02T23:29:04Z | 2021-06-28T19:13:14Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | de72e75266e7ef4159d6332980a3cae772942c92 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"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"
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621ffdc036468d709f174d13 | BigSalmon/FormalBerta | BigSalmon | null | 5 | 2,850 | False | 2022-03-02T23:29:04Z | 2021-10-13T04:35:11Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 209d81671a5102262b1bf932c506baae9b8ea6ed | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"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"
] |
621ffdc036468d709f174d14 | BigSalmon/FormalBerta2 | BigSalmon | null | 1 | 772 | False | 2022-03-02T23:29:04Z | 2021-10-14T03:33:05Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 840f839415bb77c2c99d198c6a6a0bbf9b990d91 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"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"
] |
621ffdc036468d709f174d16 | BigSalmon/FormalRobertaa | BigSalmon | null | 7 | 8,241 | False | 2022-03-02T23:29:04Z | 2021-12-02T00:19:24Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 49b51eb8a2d6ece5e0f855d33fecb1f50f403d88 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | https://huggingface.co/spaces/BigSalmon/MASK2 | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174d17 | BigSalmon/FormalRobertaaa | BigSalmon | null | 0 | 623 | False | 2022-03-02T23:29:04Z | 2021-12-02T00:23:58Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 410e4efc932d2ac7ecedd8410356eb82c4f82d1f | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | https://huggingface.co/spaces/BigSalmon/MASK2 | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174d1d | BigSalmon/GPTNeo350MInformalToFormalLincoln | BigSalmon | null | 14 | 1,834 | False | 2022-03-02T23:29:04Z | 2022-02-17T21:37:07Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | b9c0b9d9ae46cc6cef37cd63cc8d552702895041 | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Trained on this model: https://huggingface.co/xhyi/PT_GPTNEO350_ATG/tree/main
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Translated into the Style of Abraham Lincoln: you can assure yourself of my readiness to work toward this end.
Translated into the Style of Abraham Lincoln: plea... | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d1e | BigSalmon/GPTNeo350MInformalToFormalLincoln2 | BigSalmon | null | 9 | 719 | False | 2022-03-02T23:29:04Z | 2022-02-21T00:14:01Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 5013946a3ff05515ca853fea4530a8a45e0dc769 | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Trained on this model: https://huggingface.co/xhyi/PT_GPTNEO350_ATG/tree/main
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Translated into the Style of Abraham Lincoln: you can assure yourself of my readiness to work toward this end.
Translated into the Style of Abraham Lincoln: plea... | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d1f | BigSalmon/GPTNeo350MInformalToFormalLincoln3 | BigSalmon | null | 10 | 742 | False | 2022-03-02T23:29:04Z | 2022-02-25T05:04:02Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 74158705fed97ead772f1adb884b212009a844dd | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Trained on this model: https://huggingface.co/xhyi/PT_GPTNEO350_ATG/tree/main
```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLincoln3")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLi... | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d20 | BigSalmon/GPTNeo350MInformalToFormalLincoln4 | BigSalmon | null | 7 | 844 | False | 2022-03-02T23:29:04Z | 2022-02-25T05:04:06Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 09b11fd2f707d4901fa06788c80d0e652c5e7355 | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Trained on this model: https://huggingface.co/xhyi/PT_GPTNEO350_ATG/tree/main
```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLincoln3")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLi... | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d21 | BigSalmon/GPTNeo350MInformalToFormalLincoln5 | BigSalmon | null | 5 | 739 | False | 2022-03-02T23:29:04Z | 2022-02-25T23:01:20Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | eb33e739028ed7c5f92e44d74e1d6ae6bf8fdd96 | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Trained on this model: https://huggingface.co/xhyi/PT_GPTNEO350_ATG/tree/main
```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLincoln3")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLi... | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d22 | BigSalmon/GPTNeo350MInformalToFormalLincoln6 | BigSalmon | null | 7 | 758 | False | 2022-03-02T23:29:04Z | 2022-03-02T02:29:46Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 1ba8409b6dac40931d63e0d6713391d3ae256054 | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Trained on this model: https://huggingface.co/xhyi/PT_GPTNEO350_ATG/tree/main
```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLincoln6")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPTNeo350MInformalToFormalLi... | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d24 | BigSalmon/GoodMaskResults | BigSalmon | null | 2 | 1,119 | False | 2022-03-02T23:29:04Z | 2021-09-23T04:25:39Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 45e36ff82b5a46d9830909e8a7ee8081d72d3ff7 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"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"
] |
621ffdc036468d709f174d25 | BigSalmon/InfillFormalLincoln | BigSalmon | null | 8 | 813 | False | 2022-03-02T23:29:04Z | 2022-02-02T03:45:03Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 8c711d417b2212e2e7f0332d1c1a0a4bac60e152 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InfillFormalLincoln")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InfillFormalLincoln")
```
```
https://huggingface.co/spaces/BigSalmon/GPT2 (The model for this space c... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d26 | BigSalmon/InformalToFormalLincoln14 | BigSalmon | null | 5 | 987 | False | 2022-03-02T23:29:04Z | 2021-12-22T22:40:51Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 4e632b5da9f23eec30130dfd3e428c0fb5f1d055 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln14")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln14")
```
```
https://huggingface.co/spaces/BigSalmon/GPT2 (The model for ... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d27 | BigSalmon/InformalToFormalLincoln15 | BigSalmon | null | 10 | 826 | False | 2022-03-02T23:29:04Z | 2021-12-22T22:40:25Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 7823743065db1e27c903c0664fcd307cefbd6f4e | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln15")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln15")
```
```
https://huggingface.co/spaces/BigSalmon/GPT2 (The model for ... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d28 | BigSalmon/InformalToFormalLincoln16 | BigSalmon | null | 9 | 1,148 | False | 2022-03-02T23:29:04Z | 2021-12-23T18:48:23Z | transformers | 1 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | a71662041fa245860532fa0511b54f021d934415 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln16")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln16")
```
```
https://huggingface.co/spaces/BigSalmon/GPT2 (The model for ... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d29 | BigSalmon/InformalToFormalLincoln17 | BigSalmon | null | 4 | 815 | False | 2022-03-02T23:29:04Z | 2021-12-29T21:25:31Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 7414f11920a35050497cda35f3c2503719719c00 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln17")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln17")
```
```
https://huggingface.co/spaces/BigSalmon/GPT2 (The model for ... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d2a | BigSalmon/InformalToFormalLincoln18 | BigSalmon | null | 5 | 32 | False | 2022-03-02T23:29:04Z | 2022-01-06T22:00:50Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 85b529cbba1d5ef6d197dcdc7432537edc879b53 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln18")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln18")
```
```
https://huggingface.co/spaces/BigSalmon/GPT2 (The model for ... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d2b | BigSalmon/InformalToFormalLincoln19 | BigSalmon | null | 3 | 734 | False | 2022-03-02T23:29:04Z | 2022-02-01T04:56:29Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 588734714e5a49fefe30fc5b806e6661fd60e303 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln19")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln19")
```
```
https://huggingface.co/spaces/BigSalmon/GPT2 (The model for ... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d2c | BigSalmon/InformalToFormalLincoln20 | BigSalmon | null | 13 | 762 | False | 2022-03-02T23:29:04Z | 2022-02-04T20:56:17Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 901c560fb0c4d49976b5f504ae1d85514a971d97 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
Wordy to Concise:
Fill Missing Phrase:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln20")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln20")
```
```
https://huggingface.c... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d2d | BigSalmon/InformalToFormalLincoln21 | BigSalmon | null | 10 | 1,102 | False | 2022-03-02T23:29:04Z | 2022-02-11T21:24:42Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 367bdaf1312029741ca709a73348858fac8a4976 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
Wordy to Concise:
Fill Missing Phrase:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln21")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincoln21")
```
```
https://huggingface.c... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d2e | BigSalmon/InformalToFormalLincoln22 | BigSalmon | null | 5 | 832 | False | 2022-03-02T23:29:04Z | 2022-03-01T22:38:59Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 7157a7e28de731b8955a6c29be039e3c2bf2605d | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln22")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln22")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tr... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d2f | BigSalmon/InformalToFormalLincoln23 | BigSalmon | null | 5 | 771 | False | 2022-03-02T23:29:04Z | 2022-03-01T22:39:12Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | e0a9cc059e99936ebcff060ad3ba62721512b272 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln23")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln23")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tr... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d30 | BigSalmon/InformalToFormalLincoln24 | BigSalmon | null | 5 | 760 | False | 2022-03-02T23:29:04Z | 2022-03-02T01:11:55Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 325578834b2b134380fc3d9ff6a1ea6ec127643b | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln24")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln24")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tr... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d31 | BigSalmon/InformalToFormalLincoln25 | BigSalmon | null | 9 | 836 | False | 2022-03-02T23:29:04Z | 2022-03-08T23:17:13Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 9c7551ced310d674d309d955727bbea5b63356d6 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln25")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln25")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tr... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d32 | BigSalmon/InformalToFormalLincolnDistilledGPT2 | BigSalmon | null | 10 | 850 | False | 2022-03-02T23:29:04Z | 2021-12-23T03:39:15Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 6d1979b4571951ca14150f004e5045aa0bd9a2c4 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincolnDistilledGPT2")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincolnDistilledGPT2")
```
```
https://huggingface.co/spaces/BigSalmo... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d38 | BigSalmon/MrLincoln12 | BigSalmon | null | 4 | 838 | False | 2022-03-02T23:29:04Z | 2021-12-04T21:32:35Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 05234b93006a43bf411e1ba5fe617b62bdd3e2ac | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("gpt2")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/MrLincoln12")
```
```
https://huggingface.co/spaces/BigSalmon/InformalToFormal
```
```
How To Make Prompt:
informal english: i... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d39 | BigSalmon/MrLincoln125MNeo | BigSalmon | null | 12 | 804 | False | 2022-03-02T23:29:04Z | 2021-12-11T20:16:52Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"1639253542.7453568/events.out.tfevents.1639253542.69a75ccc704f.72.1",
"README.md",
"config.json",
"events.out.tfevents.1639253542.69a75ccc704f.72.0",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 2eefd20ccb5197104ccdf2e5a7a524fc17462958 | [
"transformers",
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/MrLincoln125MNeo")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/MrLincoln125MNeo")
```
```
https://huggingface.co/spaces/BigSalmon/InformalToFormal
```
```
How To Make ... | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d43 | BigSalmon/MrLincolnBerta | BigSalmon | null | 3 | 1,922 | False | 2022-03-02T23:29:04Z | 2021-12-24T21:54:31Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 3e92eea4fdc7a93fbd5cf93ee75643ffa6bd7b17 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | Example Prompt:
```
informal english: things are better when they are open source, because they are constantly being updated to enhance experience.
Translated into the Style of Abraham Lincoln: in the open-source paradigm, code is ( ceaselessly / perpetually ) being ( reengineered / revamped / polished ), thereby ( adv... | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174d44 | BigSalmon/NEO125InformalToFormalLincoln | BigSalmon | null | 9 | 762 | False | 2022-03-02T23:29:04Z | 2022-03-02T21:29:36Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | 78e9a8e5e46a2f8a7f566c860873d4a3dd0471fb | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/NEO125InformalToFormalLincoln")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/NEO125InformalToFormalLincoln")
```
```
How To Make Prompt:
informal english: i am very ready to do that just ... | null | null | null | null | null | null | null | [
"gpt_neo",
"AutoModelForCausalLM",
"GPTNeoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d48 | BigSalmon/PhraseBerta | BigSalmon | null | 6 | 1,380 | False | 2022-03-02T23:29:04Z | 2021-07-08T00:38:06Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | b04f42c2b60c83c15f21d9c7d9736a8478223794 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"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"
] |
621ffdc036468d709f174d49 | BigSalmon/Points | BigSalmon | null | 9 | 959 | False | 2022-03-02T23:29:04Z | 2022-02-07T00:27:49Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"1642612803.271465/events.out.tfevents.1642612803.13806ba8c1fa.90.1",
"README.md",
"config.json",
"events.out.tfevents.1642612803.13806ba8c1fa.90.0",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 38d22fdde41077877ca2f761fc90a5840c96fa1f | [
"transformers",
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Converting Points to Paragraphs
Example Prompts:
```
###
- declining viewership facing the nba.
- does not have to be this way.
- in fact, many solutions exist.
- the four point line would surely draw in eyes.
Text: failing to draw in the masses, the NBA has fallen into disrepair. such does not have to be the case, ho... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d4a | BigSalmon/Points2 | BigSalmon | null | 10 | 1,111 | False | 2022-03-02T23:29:04Z | 2022-02-07T00:27:54Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | ebf94b5e2d8a2512c8fe8cc1d3ddb4c583b5e4b0 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | Converting Points or Headlines to Paragraphs
Example Prompts:
```
###
- declining viewership facing the nba.
- does not have to be this way.
- in fact, many solutions exist.
- the four point line would surely draw in eyes.
Text: failing to draw in the masses, the NBA has fallen into disrepair. such does not have to be... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d4d | BigSalmon/SimplifyText | BigSalmon | null | 8 | 2,556 | False | 2022-03-02T23:29:04Z | 2021-10-14T00:41:11Z | transformers | 1 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | f1dcd3f3a42cf9f8515c8177e341c506e24dd9d2 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | - All credit goes to https://huggingface.co/philippelaban/keep_it_simple.
- This is a copy of their repository for future training purposes.
- It is supposed to simplify text.
- Their model card gives instructions on how to use it. | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f174d54 | BigSalmon/prepositions | BigSalmon | null | 6 | 1,221 | False | 2022-03-02T23:29:04Z | 2021-09-15T00:46:16Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"training_args.bin",
"vocab.json"
] | 5ae36ad59ba307d0d1c6beeb5d3e20aea64eaeb0 | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta"} | {
"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"
] |
621ffdc036468d709f174d55 | BigTooth/DialoGPT-Megumin | BigTooth | null | 7 | 1,175 | False | 2022-03-02T23:29:04Z | 2021-08-31T20:29:55Z | 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"
] | f015d66b769e873a9e6746a90c3639802a985652 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
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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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621ffdc036468d709f174d56 | BigTooth/DialoGPT-small-tohru | BigTooth | null | 2 | 738 | False | 2022-03-02T23:29:04Z | 2021-08-29T17:01:00Z | transformers | 0 | 0 | null | text-generation | null | [
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] | 6d8c0877a2ccc92eb1aca42c833e828a4c5402ae | [
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"pytorch",
"gpt2",
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"text-generation-inference",
"endpoints_compatible",
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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",
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621ffdc036468d709f174d57 | BigTooth/Megumin-v0.2 | BigTooth | null | 10 | 1,181 | False | 2022-03-02T23:29:04Z | 2021-09-02T19:38:21Z | transformers | 0 | 0 | null | text-generation | null | [
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] | a0ea944dd7543807aacac3529dc70923e354ab8c | [
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"conversational",
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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",
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621ffdc036468d709f174d58 | BigeS/DialoGPT-small-Rick | BigeS | null | 2 | 693 | False | 2022-03-02T23:29:04Z | 2021-08-27T07:51:52Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"eval_results.txt",
"merges.txt",
"pytorch_model.bin",
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"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | d2e046e61b06518f6d0d569e4786fe2f07e96ce1 | [
"transformers",
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"gpt2",
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"conversational",
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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",
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621ffdc036468d709f174d5d | Bimal/my_bot_model | Bimal | null | 1 | 866 | False | 2022-03-02T23:29:04Z | 2021-08-28T08:42:57Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
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"pytorch_model.bin",
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"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | a6137380fd825721c4187a8201a0e03a1cf0c8d2 | [
"transformers",
"pytorch",
"gpt2",
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"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 | [
"GPT2LMHeadModel",
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621ffdc036468d709f174d60 | BinksSachary/DialoGPT-small-shaxx | BinksSachary | null | 8 | 813 | False | 2022-03-02T23:29:04Z | 2021-06-03T04:48:29Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
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"vocab.json"
] | b760764bfc79f53d4393056dceeb6c98c2fa8840 | [
"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 | [
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"gpt2"
] | [
"text-generation"
] | [
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] | [
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