modelId
stringlengths
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tags
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pipeline_tag
stringclasses
17 values
config
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downloads
int64
0
59.7M
first_commit
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Despin89/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - BipedalWalkerHardcore-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - metrics: - type: mean_reward value: -132.89 +/- 24.41 name: mean_reward task: type: reinforcement-learning ...
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Dev-DGT/food-dbert-multiling
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
17
null
--- library_name: stable-baselines3 tags: - BipedalWalkerHardcore-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - metrics: - type: mean_reward value: -132.89 +/- 24.41 name: mean_reward task: type: reinforcement-learning ...
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Devid/DialoGPT-small-Miku
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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Devmapall/paraphrase-quora
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
3
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - metrics: - type: mean_reward value: -2.84 +/- 3.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning ...
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Devrim/prism-default
[ "license:mit" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward task: type: reinforcement-learning name: reinforc...
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DevsIA/imagenes
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en tags: - pythae - reproducibility license: apache-2.0 --- This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from pythae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_vamp") ``` ...
[ -0.02610187977552414, -0.021989239379763603, -0.0033930856734514236, 0.0388130247592926, 0.036899980157613754, 0.0030158315785229206, 0.0034469561651349068, -0.0033331699669361115, -0.036574587225914, 0.04259222745895386, 0.05388028547167778, -0.03527742624282837, 0.022203678265213966, 0.0...
DewiBrynJones/wav2vec2-large-xlsr-welsh
[ "cy", "dataset:common_voice", "audio", "automatic-speech-recognition", "speech", "xlsr-fine-tuning-week", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: en tags: - pythae - reproducibility library_name: pythae license: apache-2.0 --- This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from pythae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/r...
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DheerajPranav/Dialo-GPT-Rick-bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - metrics: - type: mean_reward value: 658.50 +/- 131.07 name: mean_reward task: type: reinforcement-learning ...
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Dibyaranjan/nl_image_search
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Access to model Gabesantos1007/autotrain-texto_sem_enelvo-1283649112 is restricted and you are not in the authorized list. Visit https://huggingface.co/Gabesantos1007/autotrain-texto_sem_enelvo-1283649112 to ask for access.
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DiegoAlysson/opus-mt-en-ro-finetuned-en-to-ro
[ "pytorch", "tensorboard", "marian", "text2text-generation", "dataset:wmt16", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- language: - en thumbnail: "https://github.com/faGH/fa.creative/blob/master/Icons/FrostAura/FA%20Logo/FrostAura.Logo.Complex.png?raw=true" tags: - text-generation - novel-generation - fiction - gpt-neo-x - pytorch license: "mit" --- <p align="center"> <img src="https://github.com/faGH/fa.creative/blob/master/Ico...
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DiegoBalam12/institute_classification
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - metrics: - type: mean_reward value: 526.00 +/- 122.47 name: mean_reward task: type: reinforcement-learning ...
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Digakive/Hsgshs
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - BipedalWalker-v3 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - metrics: - type: mean_reward value: 287.74 +/- 81.94 name: mean_reward task: type: reinforcement-learning name:...
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Dilmk2/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- language: - ko tags: - roberta - tokenizer only license: - mit --- ## 라이브러리 버전 - transformers: 4.21.1 - datasets: 2.4.0 - tokenizers: 0.12.1 ## 훈련 코드 ```python from datasets import load_dataset from tokenizers import ByteLevelBPETokenizer tokenizer = ByteLevelBPETokenizer(unicode_normalizer="nfkc", tri...
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Dimedrolza/DialoGPT-small-cyberpunk
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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Dkwkk/W
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 --- ## Anime Segmentation Models models of [https://github.com/SkyTNT/anime-segmentation](https://github.com/SkyTNT/anime-segmentation)
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Dmitriiserg/Pxd
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- datasets: - relbert/semeval2012_relational_similarity_v2 model-index: - name: relbert/roberta-large-semeval2012-v2-average-no-mask-prompt-c-nce results: - task: name: Relation Mapping type: sorting-task dataset: name: Relation Mapping args: relbert/relation_mapping type: relati...
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Waynehillsdev/waynehills_sentimental_kor
[ "pytorch", "electra", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "ElectraForSequenceClassification" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
33
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: huggan/smithsonian_butterflies_subset metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this com...
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Doxophobia/DialoGPT-medium-celeste
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: huggan/pokemon metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # ddpm-pokem...
[ -0.02465556003153324, -0.006963976193219423, -0.0022071769926697016, 0.031464044004678726, 0.026438234373927116, 0.013524149544537067, 0.006628359202295542, -0.013761290349066257, -0.01859177276492119, 0.05039137974381447, 0.022626299411058426, -0.005278858821839094, 0.01238511223345995, 0...
DoyyingFace/bert-asian-hate-tweets-asian-clean-with-unclean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-xlsr-53-torgo-8batch-30epochs-500steps results: [] --- <!-- 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 com...
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - custom_squad model-index: - name: distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.02826666831970215, -0.0014046014985069633, -0.032446641474962234, 0.042016319930553436, 0.05315684899687767, 0.024214891716837883, -0.02816329337656498, -0.00707530090585351, -0.03188009187579155, 0.04703282564878464, 0.038156427443027496, -0.02083442360162735, 0.012342537753283978, 0.0...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-slanted
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- language: - nl license: apache-2.0 tags: - summarization - longt5 - seq2seq datasets: - yhavinga/mc4_nl_cleaned - yhavinga/cnn_dailymail_dutch pipeline_tag: summarization widget: - text: 'Het Van Goghmuseum in Amsterdam heeft vier kostbare prenten verworven van Mary Cassatt, de Amerikaanse impressionistische ku...
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- license: creativeml-openrail-m tags: - stable-diffusion - text-to-image library_name: "stable-diffusion" inference: false extra_gated_prompt: |- One more step before getting this model. This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. Th...
[ -0.0012871527578681707, -0.0015003032749518752, -0.02985190413892269, 0.025425611063838005, 0.03244887292385101, 0.016467303037643433, 0.017659969627857208, 0.005457076244056225, -0.02253631502389908, 0.050238460302352905, 0.01828678324818611, -0.010909590870141983, 0.0071846372447907925, ...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-25
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion args: default...
[ -0.009171024896204472, 0.010020102374255657, -0.029112694784998894, 0.03739655762910843, 0.06056421250104904, 0.03384026885032654, -0.024127991870045662, -0.035747334361076355, -0.033983949571847916, 0.055964045226573944, 0.019576726481318474, -0.04688529670238495, 0.03588666766881943, 0.0...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.05180218443274498, 0.00238485517911613, -0.0070578414015471935, 0.05744059011340141, 0.022775601595640182, 0.02991260588169098, -0.005762576591223478, -0.03380683436989784, -0.015064922161400318, 0.051959287375211716, 0.01819414086639881, -0.010994960553944111, 0.005435326602309942, 0.0...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
37
2022-08-20T09:19:41Z
--- datasets: - relbert/semeval2012_relational_similarity_v2 model-index: - name: relbert/roberta-large-semeval2012-v2-average-no-mask-prompt-d-nce results: - task: name: Relation Mapping type: sorting-task dataset: name: Relation Mapping args: relbert/relation_mapping type: relati...
[ 0.003201176878064871, -0.011348909698426723, -0.02678430639207363, 0.05798673629760742, 0.0470646470785141, 0.027253391221165657, -0.03131888806819916, -0.008661972358822823, -0.06868115812540054, 0.03143412247300148, 0.016437014564871788, 0.0010867147939279675, 0.018307538703083992, 0.033...
DoyyingFace/bert-asian-hate-tweets-asonam-unclean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- language: - zh license: apache-2.0 tags: - DeBERTa - CWS - Chinese Word Segmentation - Chinese inference: false --- # Erlangshen-DeBERTa-v2-97M-CWS-Chinese - Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM) - Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/) ## 简介 B...
[ -0.021279919892549515, -0.03791346400976181, -0.010046477429568768, 0.043961212038993835, 0.0321577787399292, 0.032975707203149796, -0.015667440369725227, -0.027447914704680443, -0.026539413258433342, 0.056059978902339935, 0.025539642199873924, 0.020081844180822372, -0.004628554452210665, ...
DoyyingFace/bert-asian-hate-tweets-concat-clean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
null
--- language: - nl - en - multilingual license: apache-2.0 tags: - byt5 - translation - seq2seq datasets: - yhavinga/mc4_nl_cleaned - yhavinga/ccmatrix pipeline_tag: translation widget: - text: 'It is a painful and tragic spectacle that rises before me: I have drawn back the curtain from the rottenness of man. This...
[ -0.010968474671244621, 0.004706752486526966, 0.008810493163764477, 0.03989306837320328, 0.05090997740626335, 0.021741583943367004, -0.02349528856575489, -0.024112673476338387, -0.03335726261138916, 0.06484977900981903, 0.00977152306586504, -0.010722966864705086, 0.00717856315895915, 0.0507...
albert-base-v2
[ "pytorch", "tf", "jax", "rust", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
4,785,283
2022-08-20T11:44:12Z
--- language: - en tags: - zero-shot-image-classification license: mit datasets: - coco2017 --- # Tiny CLIP ## Introduction This is a smaller version of CLIP trained for EN only. The training script can be found [here](https://www.kaggle.com/code/sachin/tiny-en-clip/). This model is roughly 8 times smaller than CLIP. ...
[ -0.006801956333220005, -0.0062057217583060265, -0.0010377964936196804, 0.03471575304865837, 0.04580645635724068, -0.02728481963276863, -0.01644948497414589, 0.0033311396837234497, -0.04414322227239609, 0.08863630890846252, 0.016053754836320877, -0.014139896258711815, 0.0007819748134352267, ...
albert-large-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
687
2022-08-20T12:17:24Z
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.de metrics: - name:...
[ -0.02285177633166313, -0.0029209493659436703, 0.006041921209543943, 0.020610405132174492, 0.029006201773881912, 0.025830013677477837, -0.023114826530218124, -0.009819703176617622, -0.025708450004458427, 0.04948452487587929, 0.021983342245221138, -0.04665680602192879, 0.009086270816624165, ...
albert-xlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
341
2022-08-20T12:30:03Z
--- tags: - conversational --- # Harry Potter DialoGPT Model
[ -0.02932431548833847, 0.006045040208846331, 0.013366667553782463, 0.03441561385989189, 0.0064101917669177055, 0.018416399136185646, 0.002754985122010112, 0.015343287959694862, -0.01933678798377514, 0.016798319295048714, 0.028363337740302086, -0.033530596643686295, 0.010642281733453274, 0.0...
albert-xxlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
7,091
2022-08-20T13:26:17Z
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image widget: - text: "A high tech solarpunk utopia in the Amazon rainforest" example_title: Amazon rainforest - text: "A pikachu fine dining with a view to the Eiffel Tower" example_title: Pikachu in Paris - text: "A...
[ -0.012397154234349728, -0.009168487042188644, -0.03621785715222359, 0.022859130054712296, 0.04679390788078308, 0.017975175753235817, 0.019480165094137192, 0.0024160719476640224, -0.019480833783745766, 0.06511921435594559, 0.030194474384188652, -0.011658771894872189, 0.001587008940987289, 0...
albert-xxlarge-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
42,640
2022-08-20T13:28:20Z
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de-fr results: [] --- <!-- 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 commen...
[ -0.03510879725217819, -0.015046273358166218, 0.0035232759546488523, 0.02971239760518074, 0.02377067506313324, 0.020863991230726242, -0.018850844353437424, -0.009148879908025265, -0.029891477897763252, 0.045823000371456146, 0.024894461035728455, -0.05176709592342377, 0.009580070152878761, 0...
bert-base-cased-finetuned-mrpc
[ "pytorch", "tf", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11,644
2022-08-20T13:31:36Z
--- language: - en thumbnail: "https://github.com/faGH/fa.creative/blob/master/Icons/FrostAura/FA%20Logo/FrostAura.Logo.Complex.png?raw=true" tags: - text-generation - novel-generation - fiction - gpt-neo - pytorch license: "mit" --- <p align="center"> <img src="https://github.com/faGH/fa.creative/blob/master/Icons...
[ -0.012297163717448711, -0.014979911036789417, -0.004456143360584974, 0.03921179100871086, 0.03951811045408249, 0.023380251601338387, 0.0042464276775717735, -0.02541038766503334, -0.0442342646420002, 0.04946435987949371, 0.06120852008461952, 0.014531883411109447, 0.005884010344743729, 0.045...
bert-base-chinese
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "zh", "arxiv:1810.04805", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3,377,486
2022-08-20T13:43:58Z
important_labels = { "no_relation":"관계 없음", "per:employee_of":"고용", "org:member_of":"소속", "org:place_of_headquarters":"장소", "org:top_members/employees":"대표", "per:origin":"출신", "per:title":"직업", "per:colleagues":"동료", "org:members":"소속", "org:alternate_names":"본명", "per:place...
[ -0.014818704687058926, -0.0336553156375885, 0.005152630619704723, -0.0023693633265793324, 0.04121437668800354, 0.008851851336658001, -0.021762017160654068, 0.01867804490029812, -0.0391789972782135, 0.056139495223760605, 0.0317780002951622, -0.008653378114104271, 0.06359636783599854, 0.0334...
bert-base-german-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "exbert", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
175,983
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: defau...
[ -0.010153032839298248, 0.010163789615035057, -0.029090648517012596, 0.036602556705474854, 0.06063692644238472, 0.03361891582608223, -0.023455817252397537, -0.03644973039627075, -0.03386927396059036, 0.05675923451781273, 0.018352767452597618, -0.04576064273715019, 0.03476424887776375, 0.044...
bert-base-german-dbmdz-cased
[ "pytorch", "jax", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,814
2022-08-20T14:24:24Z
--- datasets: - relbert/semeval2012_relational_similarity_v2 model-index: - name: relbert/roberta-large-semeval2012-v2-average-no-mask-prompt-e-nce results: - task: name: Relation Mapping type: sorting-task dataset: name: Relation Mapping args: relbert/relation_mapping type: relati...
[ 0.0028159774374216795, -0.011083675548434258, -0.027525844052433968, 0.058663249015808105, 0.04693986475467682, 0.026881543919444084, -0.030996056273579597, -0.00812193937599659, -0.06815938651561737, 0.03188497945666313, 0.017056869342923164, 0.0008101105922833085, 0.01783197559416294, 0....
bert-base-german-dbmdz-uncased
[ "pytorch", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
68,305
2022-08-20T14:24:34Z
--- language: - pt thumbnail: "Portugues BERT for the Legal Domain" pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - transformers datasets: - assin - assin2 - stsb_multi_mt - rufimelo/PortugueseLegalSentences-v0 widget: - source_sentence: "O advogado apresentou as provas ao ju...
[ -0.007626324892044067, -0.03585755079984665, -0.023608215153217316, 0.07954423129558563, 0.03321526199579239, 0.042557213455438614, 0.0015970929525792599, -0.009814531542360783, -0.049902841448783875, 0.06745841354131699, 0.007169591262936592, -0.011722142808139324, 0.010121428407728672, 0...
bert-base-multilingual-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
328,585
2022-08-20T14:33:30Z
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-fr results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.fr metrics: - name:...
[ -0.021336514502763748, -0.005953584797680378, 0.0023650056682527065, 0.01889878883957863, 0.028307927772402763, 0.020904868841171265, -0.02530653588473797, -0.014822318218648434, -0.01722695492208004, 0.04659818485379219, 0.019880779087543488, -0.0423751100897789, 0.009203541092574596, 0.0...
bert-large-cased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8,214
2022-08-20T14:54:19Z
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-it results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.it metrics: - name:...
[ -0.024929208680987358, -0.0019495714223012328, 0.004664524458348751, 0.01891707256436348, 0.02648601308465004, 0.022089386358857155, -0.018357545137405396, -0.009171422570943832, -0.015330778434872627, 0.044319648295640945, 0.023581786081194878, -0.04556332528591156, 0.019023023545742035, ...
bert-large-cased-whole-word-masking
[ "pytorch", "tf", "jax", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2,316
2022-08-20T14:56:55Z
--- language: - en tags: - pytorch - text-generation - causal-lm - rwkv license: apache-2.0 datasets: - the_pile --- # RWKV-4 1.5B # Use RWKV-4 models (NOT RWKV-4a, NOT RWKV-4b) unless you know what you are doing. # Use RWKV-4 models (NOT RWKV-4a, NOT RWKV-4b) unless you know what you are doing. # Use RWKV-4 models ...
[ -0.017155224457383156, -0.009752403013408184, 0.018557971343398094, 0.052408602088689804, 0.03777351230382919, -0.0006298604421317577, -0.004665503744035959, -0.005397026892751455, -0.03289540484547615, 0.05149328336119652, 0.03629530593752861, -0.026414712890982628, -0.005411731079220772, ...
bert-large-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
388,769
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-en results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme args: PAN-X.en metrics: - name:...
[ -0.024217961356043816, -0.0021978900767862797, 0.006967079825699329, 0.023275544866919518, 0.02919580228626728, 0.02342761494219303, -0.022534357383847237, -0.011923606507480145, -0.02379443123936653, 0.046581611037254333, 0.01891259104013443, -0.04681387543678284, 0.015028689056634903, 0....
distilbert-base-cased-distilled-squad
[ "pytorch", "tf", "rust", "safetensors", "openvino", "distilbert", "question-answering", "en", "dataset:squad", "arxiv:1910.01108", "arxiv:1910.09700", "transformers", "license:apache-2.0", "model-index", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
257,745
2022-08-20T15:57:53Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-large-xlsr-en-demo results: [] --- <!-- 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. --> # wav2vec...
[ -0.040387678891420364, -0.0008475300273858011, -0.004244293086230755, 0.03410567715764046, 0.042035359889268875, -0.003857954405248165, -0.005491545423865318, -0.01688193716108799, -0.025855937972664833, 0.04757501184940338, 0.015953809022903442, -0.0364035964012146, -0.0012234292225912213, ...
distilbert-base-cased
[ "pytorch", "tf", "onnx", "distilbert", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1910.01108", "transformers", "license:apache-2.0", "has_space" ]
null
{ "architectures": null, "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "n...
574,859
2022-08-20T15:57:54Z
# Commit Hash 1. BART 5 epoch training: 5e2267251ec1555e81f9ed6f090e1f70355ff1c8 2. BART 10 epoch training: 2e347c5f162fe18bb8d874d2bd0b46ae3d9ff175 3. BART 13 epoch training: 58b307615eb37f44a9233318427420b330fb6cea # Dataset [link](https://huggingface.co/datasets/Adapting/Knowledge-Driven-Dialogues) # Training Resu...
[ -0.009189887903630733, -0.011320885270833969, -0.01698613539338112, 0.022711973637342453, 0.0380479171872139, 0.0053556375205516815, -0.03304579481482506, 0.0013304968597367406, -0.03748794272542, 0.06181812286376953, 0.0036644339561462402, -0.02882782556116581, 0.012807957828044891, 0.035...
AaravMonkey/modelRepo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-08-22T03:17:40Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb model-index: - name: distilbert-base-uncased-finetuned-imdb results: [] --- <!-- 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 ...
[ -0.016687260940670967, 0.00619776826351881, -0.03396710380911827, 0.04628007486462593, 0.0454019233584404, 0.02651766873896122, -0.019553357735276222, -0.02611316181719303, -0.030122237280011177, 0.06524533778429031, 0.04732493311166763, -0.025084640830755234, 0.01337047666311264, 0.046981...
Abdullaziz/model1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-08-22T07:54:52Z
--- language: zh --- # ERNIE-3.0-base-zh ## Introduction ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation More detail: https://arxiv.org/abs/2107.02137 ## Released Model Info This released pytorch model is converted from the officially released PaddlePaddle ERNIE mod...
[ -0.054991889744997025, -0.0028902993071824312, -0.010929875075817108, 0.06246880814433098, 0.042116791009902954, 0.01806924119591713, -0.0033162645995616913, -0.021415118128061295, -0.04234087094664574, 0.06893903017044067, 0.03441574051976204, -0.02261796034872532, -0.0044984458945691586, ...
Abirate/bert_fine_tuned_cola
[ "tf", "bert", "text-classification", "arxiv:1810.04805", "transformers", "has_space" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
26
2022-08-22T08:52:59Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice_10_0 model-index: - name: wav2vec2-large-xls-r-300m-ja-colab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.036690570414066315, 0.0011597753036767244, -0.016225526109337807, 0.032950107008218765, 0.04768797382712364, 0.018820222467184067, -0.013433187268674374, -0.006448779255151749, -0.01156171690672636, 0.03981991857290268, 0.03316761553287506, -0.027651479467749596, 0.0003240176010876894, ...
AdapterHub/bert-base-uncased-pf-duorc_p
[ "bert", "en", "dataset:duorc", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "architectures": null, "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Worm library_name: ml-agents --- # **ppo** Agent playing **Worm** This is a trained model of a **ppo** agent playing **Worm** using the [Unity ML-Agents Library]...
[ -0.04402792453765869, -0.0023369917180389166, -0.015320210717618465, 0.04541710764169693, 0.03203686326742172, 0.025204572826623917, -0.015895972028374672, -0.03333714231848717, -0.0025516939349472523, 0.0597575344145298, 0.031909361481666565, -0.01661626808345318, -0.0061780186370015144, ...
AdapterHub/roberta-base-pf-quoref
[ "roberta", "en", "dataset:quoref", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "architectures": null, "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_...
0
null
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: brand-detector results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.8428270220756531 --- # brand-detector Bra...
[ -0.01612612046301365, 0.01593664661049843, 0.0033088696654886007, 0.028412647545337677, 0.03763437643647194, -0.0034841825254261494, 0.009775098413228989, 0.032746050506830215, -0.017376339063048363, 0.046434152871370316, 0.0054354858584702015, -0.0060045658610761166, -0.010196459479629993, ...
Adharsh2608/DialoGPT-small-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-08-23T04:55:16Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-chunking results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 co...
[ -0.000837950618006289, 0.007315252907574177, -0.018846699967980385, 0.02889890968799591, 0.037220317870378494, 0.005712809506803751, -0.03204112872481346, -0.017446471378207207, -0.024229951202869415, 0.06258486956357956, 0.0332237146794796, -0.009740425273776054, 0.014690419659018517, 0.0...
AdharshJolly/HarryPotterBot-Model
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- tags: - conversational --- # Rick DialoGPT Model
[ -0.028240039944648743, 0.03441830351948738, 0.005521618761122227, 0.017995398491621017, 0.016652796417474747, 0.014403940178453922, -0.0016683802241459489, 0.021294109523296356, -0.007376998662948608, 0.01654401607811451, 0.04126352444291115, -0.030583947896957397, 0.014878114685416222, 0....
AhmedHassan19/model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 --- [Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU). It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU...
[ -0.05205888673663139, -0.014808997511863708, -0.012073613703250885, 0.033747732639312744, 0.011128997430205345, 0.03477175533771515, -0.016836820170283318, -0.012141118757426739, 0.0004285996255930513, 0.05837239325046539, 0.010686389170587063, 0.004389554262161255, 0.016773931682109833, 0...
Amrrs/indian-foods
[ "pytorch", "tensorboard", "vit", "image-classification", "transformers", "huggingpics", "model-index", "autotrain_compatible" ]
image-classification
{ "architectures": [ "ViTForImageClassification" ], "model_type": "vit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
33
null
--- tags: - generated_from_trainer datasets: - bc4chemd metrics: - precision - recall - f1 - accuracy model-index: - name: electramed-small-BC4CHEMD-ner results: - task: name: Token Classification type: token-classification dataset: name: bc4chemd type: bc4chemd config: bc4chemd ...
[ -0.034493982791900635, 0.007681535556912422, 0.0011893819319084287, 0.028433404862880707, 0.017850534990429878, 0.014882199466228485, -0.017411286011338234, -0.025253834202885628, -0.05168021097779274, 0.04883069545030594, 0.03547424077987671, -0.004537157714366913, 0.0026927103754132986, ...
Ankitha/DialoGPT-small-harrypottery
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - coscan-speech metrics: - accuracy model-index: - name: wav2vec2-base-finetuned-coscan-age_group results: - task: name: Audio Classification type: audio-classification dataset: name: Coscan Speech type: NbAiLab/coscan-spe...
[ -0.03047342412173748, -0.01878301054239273, -0.005448818672448397, 0.030687229707837105, 0.06312687695026398, 0.019997769966721535, -0.020692210644483566, 0.006029048934578896, -0.013487571850419044, 0.04810897633433342, 0.050522204488515854, -0.00021487928461283445, 0.0077474480494856834, ...
AnonymousSub/cline
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Sayan007/distilbert-base-uncased-finetuned-cola results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this co...
[ -0.026374921202659607, 0.0011986313620582223, -0.013089832849800587, 0.029787486419081688, 0.04219948127865791, 0.01456063985824585, -0.026855390518903732, -0.018039138987660408, -0.04808950796723366, 0.04916359484195709, 0.04076441749930382, -0.011094140820205212, 0.03505472093820572, 0.0...
AnonymousSub/declutr-emanuals-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
29
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: huggan/smithsonian_butterflies_subset metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this com...
[ -0.03162691369652748, -0.010849216021597385, -0.006047818809747696, 0.035219695419073105, 0.017603563144803047, 0.012392952106893063, 0.010648063383996487, -0.004988992586731911, -0.007405153475701809, 0.05529512092471123, 0.008817893452942371, -0.021903270855545998, 0.007396480534225702, ...
AnonymousSub/declutr-emanuals-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- tags: - generated_from_trainer datasets: - squad_modified_for_t5_qg model-index: - name: t5-end2end-questions-generation results: [] --- <!-- 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 co...
[ -0.010631972923874855, -0.016341952607035637, -0.003146744566038251, 0.03325232118368149, 0.0337994322180748, -0.009281620383262634, -0.027867786586284637, 0.0022908076643943787, -0.0383104607462883, 0.029425134882330894, 0.014942070469260216, -0.02204972691833973, -0.009819603525102139, 0...
AnonymousSub/declutr-model-emanuals
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-small-finetuned-ner-to-multilabel-finer-139 results: [] --- <!-- 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 co...
[ -0.021302560344338417, 0.011442071758210659, 0.0004725589824374765, 0.023378701880574226, 0.037279702723026276, 0.012440329417586327, -0.028847243636846542, -0.03326133266091347, -0.03878799080848694, 0.04391548037528992, 0.007717842236161232, -0.01871173456311226, 0.028161706402897835, 0....
AnonymousSub/declutr-model_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: silviacamplani/distilbert-finetuned-ner-ai results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment...
[ -0.03160490095615387, -0.009678375907242298, 0.005485571455210447, 0.030592255294322968, 0.04284561425447464, 0.019586386159062386, -0.028044909238815308, -0.02254924178123474, -0.052197154611349106, 0.057868752628564835, 0.037540093064308167, -0.014903602190315723, 0.019729236140847206, 0...
AnonymousSub/declutr-roberta-papers
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
null
--- tags: - translation - generated_from_trainer metrics: - bleu model-index: - name: opus-mt-tc-big-wiki-en-ko results: [] --- <!-- 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. --> #...
[ -0.02426403947174549, -0.012698116712272167, -0.003600899362936616, 0.02388644777238369, 0.016681160777807236, 0.010716262273490429, -0.001125725219026208, 0.002559841377660632, -0.02719871886074543, 0.059002652764320374, 0.01609138585627079, -0.014825457707047462, 0.0002164076140616089, 0...
AnonymousSub/dummy_2_parent
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
null
--- tags: - generated_from_trainer metrics: - accuracy - f1 - precision - recall model-index: - name: distilrubert-tiny-cased-conversational-v1_empathy_preprocessed_punct_lowercasing results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You shou...
[ -0.028988705947995186, 0.033943112939596176, -0.021840371191501617, 0.03951965644955635, 0.05197661742568016, 0.01687253825366497, 0.0025112247094511986, -0.01598229445517063, -0.03950152173638344, 0.06739019602537155, -0.000434112676884979, -0.051775556057691574, 0.03164272755384445, 0.03...
AnonymousSub/roberta-base_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- license: mit tags: - speech - text - cross-modal - unified model - self-supervised learning - SpeechT5 - Voice Conversion datasets: - CMUARCTIC - bdl - clb - rms - slt --- ## SpeechT5 VC Manifest | [**Github**](https://github.com/microsoft/SpeechT5) | [**Huggingface**](https://huggingface.co/mechanicalsea/speecht...
[ -0.05725076049566269, -0.01900208368897438, -0.007323867175728083, 0.04468197003006935, 0.03850698098540306, 0.023305943235754967, -0.023750562220811844, -0.016801463440060616, -0.020831169560551643, 0.05501706898212433, 0.028479795902967453, 0.004091238137334585, 0.017948079854249954, 0.0...
AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
2022-08-25T09:32:52Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-small-finetuned-ner-to-multilabel-finer-19 results: [] --- <!-- 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 com...
[ -0.024073274806141853, 0.003540884470567107, -0.0020602226722985506, 0.029339659959077835, 0.039415910840034485, 0.014973173849284649, -0.02619045414030552, -0.030636118724942207, -0.03567137569189072, 0.045999933034181595, 0.016765477135777473, -0.01276876125484705, 0.022080913186073303, ...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- tags: - autotrain - text-classification language: - unk widget: - text: "AA sequence with spaces" datasets: - dav3794/autotrain-data-demo-knots2 co2_eq_emissions: emissions: 0.021557396511961088 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Dataset: 1:1 (unknotted : knotted) - Mode...
[ -0.029548179358243942, -0.021769817918539047, -0.007454668637365103, 0.041142646223306656, 0.04013620316982269, 0.028146972879767418, -0.037487905472517014, -0.006378962192684412, -0.04362177476286888, 0.07456748187541962, 0.012202814221382141, 0.026448102667927742, 0.0009309737361036241, ...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-small-finetuned-ner-to-multilabel-finer-50 results: [] --- <!-- 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 com...
[ -0.02351878397166729, 0.005473277065902948, -0.0019258647225797176, 0.029917050153017044, 0.039700254797935486, 0.014399035833775997, -0.027684831991791725, -0.030459173023700714, -0.03594434633851051, 0.045574210584163666, 0.01716448925435543, -0.012809869833290577, 0.020630400627851486, ...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.01860727369785309, -0.01849619299173355, -0.007133461534976959, 0.03481568768620491, 0.050703272223472595, -0.02018972672522068, -0.012310669757425785, -0.013027120381593704, -0.06002573296427727, 0.05687813088297844, -0.006373741198331118, -0.012380639091134071, 0.02192823216319084, 0....
AnonymousSub/rule_based_hier_quadruplet_0.1_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
4
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-small-finetuned-ner-to-multilabel-wnut-17-new results: [] --- <!-- 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 ...
[ -0.03400968760251999, 0.008986379951238632, -0.0035199138801544905, 0.03134547173976898, 0.04414946213364601, 0.02074529230594635, -0.020262515172362328, -0.032597675919532776, -0.03334207460284233, 0.05045965686440468, 0.014476913027465343, -0.01758798584342003, 0.017326653003692627, 0.03...
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.73...
[ -0.020977120846509933, -0.017236944288015366, -0.008892979472875595, 0.030978182330727577, 0.046299565583467484, -0.0019434919813647866, -0.01862684078514576, 0.0016582496464252472, -0.04006567969918251, 0.0562828853726387, 0.01096236240118742, -0.012060622684657574, 0.0101652592420578, 0....
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-small-finetuned-ner-to-multilabel-xglue-ner-new results: [] --- <!-- 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 thi...
[ -0.026141224429011345, 0.010253176093101501, 0.0012163062347099185, 0.0289758387953043, 0.04532903432846069, 0.019419880583882332, -0.021777838468551636, -0.031211765483021736, -0.039122965186834335, 0.04638272896409035, 0.004643081687390804, -0.020224273204803467, 0.027359947562217712, 0....
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- tags: - autotrain - text-classification language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - dav3794/autotrain-data-demo-knots3 co2_eq_emissions: emissions: 0.03305239439397985 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 1315750263 - CO2 Emissions (in grams...
[ -0.025583000853657722, -0.026002833619713783, -0.007414187304675579, 0.03615128621459007, 0.038294415920972824, 0.031933438032865524, -0.036823999136686325, -0.006315829232335091, -0.04326503351330757, 0.07901826500892639, 0.015464158728718758, 0.025022128596901894, -0.0006688626017421484, ...
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: camembert-base-finetuned-Train_RAW15-dd results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and co...
[ -0.049109190702438354, 0.01785963401198387, -0.003115119645372033, 0.028766892850399017, 0.03008086420595646, 0.015634234994649887, -0.01813071221113205, -0.0004558352520689368, -0.037567827850580215, 0.045106276869773865, 0.014963345602154732, -0.03241800144314766, -0.010505995713174343, ...
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_wikiqa_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- tags: - autotrain - text-classification language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - dav3794/autotrain-data-demo-knots-all co2_eq_emissions: emissions: 0.1285808899475734 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 1315850267 - CO2 Emissions (in gra...
[ -0.02611071988940239, -0.025492176413536072, -0.00685966107994318, 0.03649323433637619, 0.037922877818346024, 0.030583040788769722, -0.037846434861421585, -0.004018416162580252, -0.04276689514517784, 0.07782948762178421, 0.013596851378679276, 0.026203539222478867, 0.0035902014933526516, 0....
AnonymousSub/rule_based_only_classfn_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
--- tags: - autotrain - text-classification language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - dav3794/autotrain-data-demo-knots-1-2 co2_eq_emissions: emissions: 0.019866640922183956 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 1315950270 - CO2 Emissions (in g...
[ -0.0277878250926733, -0.025537438690662384, -0.005066127981990576, 0.036850593984127045, 0.037983983755111694, 0.03159983456134796, -0.03817363083362579, -0.003738280851393938, -0.043059252202510834, 0.07777391374111176, 0.013007624074816704, 0.02564002387225628, 0.0022194550838321447, 0.0...
AnonymousSub/rule_based_only_classfn_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
32
2022-08-25T11:45:25Z
--- license: mit tags: - generated_from_trainer datasets: - turkish-multiclass-dataset metrics: - f1 model-index: - name: distilbert-base-turkish-cased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: turkish-multiclass-dataset type: t...
[ -0.007640944328159094, 0.013304500840604305, -0.028404682874679565, 0.06226148456335068, 0.04426144063472748, 0.04315808415412903, -0.016336632892489433, -0.035820554941892624, -0.044020187109708786, 0.07411202043294907, 0.006721981801092625, -0.04801509156823158, 0.023566512390971184, 0.0...
AnonymousSub/rule_based_only_classfn_twostage_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
2022-08-25T11:51:12Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-najianews results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remo...
[ -0.022695323452353477, -0.011593305505812168, -0.02229316718876362, 0.05537407845258713, 0.051168959587812424, 0.024359246715903282, 0.011494004167616367, -0.03341829776763916, -0.04715879261493683, 0.06532841175794601, 0.030194619670510292, -0.03478348255157471, -0.000013662602214026265, ...
AnonymousSub/rule_based_roberta_bert_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2022-08-25T11:56:48Z
--- license: mit --- Three classes sentiment analysis (positive, negative, neutral) Based on https://huggingface.co/j-hartmann/sentiment-roberta-large-english-3-classes Fine-tuned using: - annotated sentences from book reviews in English https://www.gti.uvigo.es/index.php/en/book-reviews-annotated-dataset-for-aspect...
[ -0.027166783809661865, -0.0006784505676478148, -0.02354774996638298, 0.04473426192998886, 0.039747633039951324, 0.045979373157024384, -0.026980973780155182, -0.009200593456625938, -0.06093155965209007, 0.061311427503824234, 0.016918951645493507, -0.006823329254984856, 0.03844607621431351, ...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- language: - fa tags: - Wikipedia - Summarizer - bert2bert - Summarization task_categories: - Summarization - text generation task_ids: - news-articles-summarization license: - apache-2.0 multilinguality: - monolingual datasets: - pn-summary - XL-Sum metrics: - rouge-1 - rouge-2 - rouge-l --- # Wiki...
[ 0.009705422446131706, -0.030453842133283615, -0.01825709640979767, 0.04598647728562355, 0.03249491751194, 0.03187200054526329, -0.006941609550267458, -0.029390869662165642, -0.056043557822704315, 0.08095952868461609, 0.032531507313251495, 0.00318296835757792, -0.003697281237691641, 0.03810...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
null
--- tags: - endpoints-template library_name: generic --- # Shareded fp16 copy of [EleutherAI/gpt-j-6B](https://huggingface.co/EleutherAI/gpt-j-6B) > This is fork of [EleutherAI/gpt-j-6B](https://huggingface.co/EleutherAI/gpt-j-6B) with shareded fp16 weights implementing a custom `handler.py` as an example for how to ...
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AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
28
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # teven/all_bs192_hardneg This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering ...
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AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- language: en license: mit tags: - vision - video-classification model-index: - name: nielsr/xclip-base-patch32 results: - task: type: video-classification dataset: name: Kinetics 400 type: kinetics-400 metrics: - type: top-1 accuracy value: 80.4 - type: top-5 accuracy ...
[ -0.04230237007141113, -0.003346250392496586, -0.00554482638835907, 0.029734138399362564, 0.03458026796579361, 0.000023511373001383618, -0.017265822738409042, -0.01786934770643711, -0.006306034978479147, 0.07459024339914322, 0.013606471009552479, -0.016412725672125816, -0.00828353688120842, ...
AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
23
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-3000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text ...
[ -0.014504047110676765, -0.00997278280556202, -0.03052760846912861, 0.04471521079540253, 0.03641559183597565, 0.035856038331985474, -0.020684825256466866, -0.02116295136511326, -0.03743206709623337, 0.06541046500205994, 0.047310568392276764, -0.01853412389755249, 0.019157111644744873, 0.042...
ArcQ/gpt-experiments
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-08-26T00:43:39Z
--- tags: - t5 --- # Model Card for diabetes-t5-small # Model Details ## Model Description - **Developed by:** UCI NLP - **Shared by [Optional]:** More information needed - **Model type:** Text2Text Generation - **Language(s) (NLP):** More information needed - **License:** More information needed - **Relate...
[ -0.019504599273204803, -0.009193764999508858, 0.017472494393587112, 0.041824664920568466, 0.04984673857688904, 0.030384253710508347, -0.020445914939045906, 0.0004326995403971523, -0.007501411251723766, 0.04269855469465256, 0.027347905561327934, -0.02236509881913662, 0.019955512136220932, 0...
AriakimTaiyo/DialoGPT-cultured-Kumiko
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
Access to model Sandeepanie/clinical-finetuned-data is restricted and you are not in the authorized list. Visit https://huggingface.co/Sandeepanie/clinical-finetuned-data to ask for access.
[ -0.035226669162511826, -0.003054866334423423, 0.02245083637535572, 0.010218029841780663, 0.023723939433693886, 0.001942297792993486, -0.03343016281723976, -0.005995133891701698, -0.027281256392598152, 0.031232668086886406, 0.06112850084900856, 0.003225587774068117, 0.04054835066199303, 0.0...
AriakimTaiyo/kumiko
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - espnet - audio - automatic-speech-recognition language: en datasets: - an4 license: cc-by-4.0 --- ## ESPnet2 ASR model ### `jkang/espnet2_an4_transformer` This model was trained by jaekookang using an4 recipe in [espnet](https://github.com/espnet/espnet/). ### Demo: How to use in ESPnet2 Follow the [E...
[ -0.05120385065674782, 0.004473342094570398, -0.03030959516763687, 0.026039475575089455, 0.05844099074602127, 0.017960507422685623, 0.001348949852399528, 0.01171296089887619, -0.0639776811003685, 0.06710190325975418, 0.011168147437274456, -0.003956283442676067, -0.0027555921114981174, 0.018...
Aries/T5_question_answering
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
5
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - nubes metrics: - precision - recall - f1 - accuracy model-index: - name: Negation_Scope_Detection_NubEs_Spanish_mBERT_fine_tuned results: - task: name: Token Classification type: token-classification dataset: name: nubes ...
[ -0.0015771039761602879, -0.005954307969659567, -0.006584065966308117, 0.021677393466234207, 0.0445418618619442, 0.02336285077035427, -0.03569987788796425, -0.03850556164979935, -0.04653980955481529, 0.05737709999084473, 0.006721451412886381, -0.026415426284074783, 0.011524060741066933, 0.0...
ArnaudPannatier/MLPMixer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit --- # All Best Fine-Tuned Models Best fine-tuned t5 parsing models from TalkToModel [https://arxiv.org/abs/2207.04154](https://arxiv.org/abs/2207.04154)
[ -0.04637428745627403, -0.026249896734952927, -0.0016692847711965442, 0.012698895297944546, 0.021959200501441956, 0.009216750971972942, -0.04242425039410591, 0.019679097458720207, -0.02731717936694622, 0.04067126661539078, 0.05852799862623215, 0.018585743382573128, 0.04247916489839554, 0.04...
Arnold/wav2vec2-hausa2-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
9
null
--- language: sv license: mit tags: - summarization datasets: - Gabriel/cnn_daily_swe widget: - text: 'Frankrike lås Sebastien Chabal har nämnts för en farlig tackling på Englands Simon Shaw under lördagens VM semifinal i Paris. Simon Shaw lastar av trots att Raphael Ibanez, vänster, och Sebastien Chabal. Sale ...
[ 0.00560584245249629, -0.004506582394242287, 0.009994860738515854, 0.007366074249148369, 0.04814246669411659, -0.008847353048622608, -0.02442096918821335, 0.008499469608068466, -0.043175823986530304, 0.07180620729923248, 0.026818562299013138, -0.01497377548366785, -0.001892685191705823, 0.0...
Arnold/wav2vec2-large-xlsr-hausa2-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: t5_assets results: [] --- <!-- 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. --> # t5_asset...
[ -0.019717371091246605, -0.02013639360666275, -0.004383531399071217, 0.03201941400766373, 0.04198623076081276, -0.0014025539858266711, -0.03222125396132469, -0.012830983847379684, -0.03260926157236099, 0.052899256348609924, 0.028001174330711365, -0.017811574041843414, -0.008857505396008492, ...
Arpita/opus-mt-en-ro-finetuned-synthon-to-reactant
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit --- This repo contains the text-only finetuned vision-and-language model weights used for the "How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?" paper.
[ -0.05392533913254738, -0.01989346370100975, 0.002666635438799858, 0.0355316586792469, 0.025223787873983383, 0.01180028822273016, -0.028248051181435585, 0.0092208506539464, -0.01817765086889267, 0.045559026300907135, 0.014624113216996193, -0.018316134810447693, 0.04028043895959854, 0.041002...
ArthurcJP/DialoGPT-small-YODA
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-08-26T06:59:38Z
--- datasets: - relbert/semeval2012_relational_similarity model-index: - name: relbert/roberta-large-semeval2012-mask-prompt-a-loob results: - task: name: Relation Mapping type: sorting-task dataset: name: Relation Mapping args: relbert/relation_mapping type: relation-mapping m...
[ 0.004520105198025703, -0.012296255677938461, -0.028112202882766724, 0.05373145267367363, 0.0481904037296772, 0.024266544729471207, -0.03285937383770943, -0.00866506528109312, -0.06670067459344864, 0.03266236186027527, 0.01542277168482542, 0.005548824090510607, 0.01841236837208271, 0.033641...
Ashok/my-new-tokenizer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: electra-small-discriminator-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then r...
[ -0.033178746700286865, -0.007365688681602478, -0.003809091867879033, 0.026248203590512276, 0.05066775158047676, 0.030335089191794395, -0.030429420992732048, 0.030430706217885017, -0.04133909195661545, 0.045024920254945755, 0.03634295240044594, -0.012534799054265022, 0.01383617240935564, 0....
Augustvember/WOKKAWOKKA
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - wikiann metrics: - precision - recall - f1 - accuracy model-index: - name: bert-base-uncased-tajik-ner results: - task: name: Token Classification type: token-classification dataset: name: wikiann type: wikiann conf...
[ -0.005887999199330807, -0.010251093655824661, -0.02080870233476162, 0.03614398464560509, 0.030487870797514915, 0.016464048996567726, -0.013686565682291985, -0.026824617758393288, -0.032239511609077454, 0.0566035658121109, 0.02303515002131462, -0.03251447156071663, 0.011875606141984463, 0.0...
Ayato/DialoGTP-large-Yuri
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en license: apache-2.0 library_name: keras tags: - doe2vec - exploratory-landscape-analysis - autoencoders datasets: - BasStein/250000-randomfunctions-2d metrics: - mse co2_eq_emissions: emissions: 0.0363 source: "code carbon" training_type: "pre-training" geographical_location: "Leiden, The Net...
[ -0.04210858792066574, -0.010335150174796581, 0.02242238260805607, 0.012346144765615463, 0.04247807711362839, -0.00830149371176958, -0.013111268170177937, -0.021440522745251656, -0.02600443735718727, 0.06560742110013962, 0.003099014051258564, 0.0006565938238054514, 0.03261471167206764, 0.06...
Ayham/albert_gpt2_summarization_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:xsum", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/- 2.77...
[ -0.021084610372781754, -0.01495012640953064, -0.006540006026625633, 0.02970219776034355, 0.045023418962955475, -0.001234759809449315, -0.018955862149596214, 0.0021270494908094406, -0.03926384821534157, 0.055353324860334396, 0.011875039897859097, -0.012029977515339851, 0.00936845038086176, ...
BSC-LT/roberta-large-bne
[ "pytorch", "roberta", "fill-mask", "es", "dataset:bne", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
24
null
--- license: cc-by-4.0 language: mr datasets: - L3Cube-MahaCorpus --- A MahaBERT (l3cube-pune/marathi-bert-v2) model finetuned on random 1 million Marathi Tweets. More details on the dataset, models, and baseline results can be found in our [paper] (<a href='https://arxiv.org/abs/2210.04267'> link </a>) Released under...
[ -0.01840394362807274, 0.0007584935519844294, -0.01548824179917574, 0.04660077020525932, 0.044114235788583755, 0.04785209894180298, -0.022223493084311485, -0.008944698609411716, -0.021175019443035126, 0.03912833333015442, 0.03472883254289627, -0.01823960430920124, 0.021497901529073715, 0.01...
BW/TEST
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
null
--- language: - ja tags: - t5 - text2text-generation - seq2seq license: cc-by-sa-4.0 datasets: - wikipedia - oscar - cc100 --- # 日本語T5 Prefix Language Model This is a T5 (Text-to-Text Transfer Transformer) Adapted Language Model fine-tuned on Japanese corpus. このモデルは日本語T5事前学習済みモデル([sonoisa/t5-base-japanese-v1.1](http...
[ 0.0012990280520170927, -0.05106591433286667, 0.016527146100997925, 0.03878091275691986, 0.026368049904704094, 0.017849324271082878, -0.016490232199430466, -0.005478197243064642, -0.04866623505949974, 0.06055169180035591, 0.015278076753020287, -0.007767027243971825, 0.003657570807263255, 0....
Backedman/DialoGPT-small-Anika
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: hu license: apache-2.0 datasets: - common_crawl - wikipedia tags: - byte representation - gradient boosting - hungarian --- # Charmen-Electra A byte-based transformer model trained on Hungarian language. In order to use the model you will need a custom Tokenizer which is available at: [https://github.co...
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Bagus/ser-japanese
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: distilbert-finetuned-dapt_tapt-lm-ai results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> ...
[ -0.027043236419558525, -0.0060954950749874115, -0.02209877222776413, 0.031158821657299995, 0.049300938844680786, 0.022190652787685394, -0.031658247113227844, -0.015154100954532623, -0.04304403439164162, 0.06196213141083717, 0.023395149037241936, -0.029725613072514534, 0.026810260489583015, ...
BaptisteDoyen/camembert-base-xnli
[ "pytorch", "tf", "camembert", "text-classification", "fr", "dataset:xnli", "transformers", "zero-shot-classification", "xnli", "nli", "license:mit", "has_space" ]
zero-shot-classification
{ "architectures": [ "CamembertForSequenceClassification" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
405,474
2022-08-27T12:28:14Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: recipe-gauss-3 results: [] --- <!-- 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. --> # recipe-gauss-3 This...
[ -0.019008105620741844, -0.0035595311783254147, -0.010652449913322926, 0.020591486245393753, 0.04771781340241432, 0.011281992308795452, 0.013676664792001247, 0.008179746568202972, -0.02135750651359558, 0.053019460290670395, 0.018962489441037178, -0.010171870701014996, 0.010066459886729717, ...
Barkavi/totto-t5-base-bert-score-121K
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
51
2022-08-27T12:42:28Z
--- datasets: - relbert/semeval2012_relational_similarity model-index: - name: relbert/roberta-large-semeval2012-mask-prompt-e-loob results: - task: name: Relation Mapping type: sorting-task dataset: name: Relation Mapping args: relbert/relation_mapping type: relation-mapping m...
[ 0.005267642438411713, -0.011286462657153606, -0.02739688754081726, 0.054143939167261124, 0.047696784138679504, 0.02591678686439991, -0.032652873545885086, -0.007440475281327963, -0.06651086360216141, 0.033051248639822006, 0.015284412540495396, 0.005743356887251139, 0.019831297919154167, 0....
Barytes/hellohf
[ "tf", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
2022-08-27T13:05:50Z
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de-fr results: [] --- <!-- 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 commen...
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