modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
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timestamp[ns, tz=UTC]
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CLAck/en-km
[ "pytorch", "marian", "text2text-generation", "transformers", "translation", "autotrain_compatible" ]
translation
{ "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...
12
null
--- license: cc-by-4.0 tags: - generated_from_trainer model-index: - name: roberta-base-finetune-adversarial-qa 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. --> #...
[ -0.04096832871437073, -0.017530532553792, -0.019305666908621788, 0.01890522427856922, 0.03909895569086075, 0.023389210924506187, -0.013338184915482998, -0.008070227690041065, -0.04770684614777565, 0.04433462396264076, 0.02535315416753292, -0.015050465241074562, 0.004987161606550217, 0.0538...
CLAck/indo-mixed
[ "pytorch", "marian", "text2text-generation", "en", "id", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "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...
15
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### zx Dreambooth model trained by WALIDALI with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [fast-Col...
[ -0.03382726013660431, -0.014173435978591442, -0.023633895441889763, 0.04092928394675255, 0.02790134958922863, 0.019529692828655243, 0.0016621523536741734, 0.006151254754513502, -0.006815282627940178, 0.039104659110307693, 0.046741608530282974, -0.0015161300543695688, -0.02703133411705494, ...
CLAck/vi-en
[ "pytorch", "marian", "text2text-generation", "en", "vi", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "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...
6
null
--- license: cc-by-nc-4.0 pipeline_tag: text-to-video tags: - anime --- ## Overview This is a text2video model for diffusers, fine-tuned with a [ModelScope](https://huggingface.co/damo-vilab/text-to-video-ms-1.7b) to have an anime-style appearance. The model now has a much more anime-style look compared to the previo...
[ -0.013199920766055584, -0.02400708571076393, 0.014808314852416515, 0.0358579084277153, 0.04547486454248428, 0.012847323901951313, 0.001806244719773531, -0.01867672987282276, -0.0179701279848814, 0.0640903115272522, 0.019831793382763863, 0.007945211604237556, 0.026692748069763184, 0.0521837...
CTBC/ATS
[]
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
2023-05-07T02:38:36Z
--- license: cc-by-nc-4.0 language: - en pipeline_tag: text-to-video tags: - anime --- This is a text2video model for diffusers, fine-tuned with a [modelscope](https://huggingface.co/damo-vilab/text-to-video-ms-1.7b) to have an anime-style appearance. It was trained at 448x384 resolution. The usage is the same as w...
[ -0.010661418549716473, -0.028647007420659065, 0.01296901237219572, 0.022506872192025185, 0.04914030060172081, 0.010587134398519993, -0.008577360771596432, -0.009297838434576988, -0.012528897263109684, 0.06633476167917252, 0.01510185282677412, 0.0070255231112241745, 0.03657200559973717, 0.0...
Cameron/BERT-SBIC-targetcategory
[ "pytorch", "jax", "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: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class --- ## Description ## Usage ```python from diffusers import StableDiffusionPipeline ```
[ -0.016312357038259506, -0.012152306735515594, -0.013232769444584846, 0.033264193683862686, 0.044330451637506485, 0.014077356085181236, 0.01554211787879467, 0.007359002251178026, -0.017071474343538284, 0.04905185475945473, 0.015696179121732712, 0.004319603554904461, 0.02258903905749321, 0.0...
Cameron/BERT-mdgender-convai-ternary
[ "pytorch", "jax", "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...
38
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.021446675062179565, -0.012582595460116863, 0.010545328259468079, 0.03049459122121334, 0.024046607315540314, 0.02125541679561138, 0.007189061027020216, -0.007711693644523621, -0.006354764103889465, 0.06305341422557831, -0.0005608900100924075, -0.015070769935846329, 0.02514559030532837, 0...
Canadiancaleb/DialoGPT-small-jesse
[ "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: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: rare-puppers results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.8787878751754761 --- # rare-puppers Autoge...
[ -0.011642743833363056, -0.0016956106992438436, 0.029765797778964043, 0.03441259637475014, 0.04007365554571152, -0.009009232744574547, -0.02699669636785984, -0.021454105153679848, -0.022911664098501205, 0.05301753059029579, 0.025998631492257118, 0.001263365033082664, 0.0038012699224054813, ...
Canadiancaleb/DialoGPT-small-walter
[ "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
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.0375763364136219, -0.002848004922270775, -0.0053993952460587025, 0.025773949921131134, 0.04618164896965027, -0.021153097972273827, -0.0056130774319171906, -0.027588868513703346, -0.03224947303533554, 0.06629864871501923, 0.03202718496322632, -0.02343556471168995, 0.023042764514684677, 0...
Capreolus/bert-base-msmarco
[ "pytorch", "tf", "jax", "bert", "text-classification", "arxiv:2008.09093", "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...
238
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: split...
[ -0.010119955986738205, 0.010245713405311108, -0.028132306411862373, 0.036523085087537766, 0.061087559908628464, 0.03237820789217949, -0.022930249571800232, -0.03591442108154297, -0.033349402248859406, 0.057185541838407516, 0.018774159252643585, -0.04533316567540169, 0.03490176424384117, 0....
dccuchile/albert-xxlarge-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
28
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: t5_recommendation_items 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. -...
[ -0.011963353492319584, 0.0018600962357595563, 0.007311799563467503, 0.05049101635813713, 0.030258070677518845, -0.007508720271289349, -0.0299829114228487, -0.007457887753844261, -0.01997542940080166, 0.045597657561302185, 0.040900640189647675, -0.026403680443763733, -0.0028215893544256687, ...
dccuchile/albert-xxlarge-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
7
null
--- language: - en - ja tags: - art license: openrail --- # 【LoRA】 endangeredAnimals * [LoRA for SD ](https://huggingface.co/PastelPlanet/endangeredAnimals/resolve/main/endangeredAnimals1.0.safetensors) endangeredAnimals is a LoRA file that was studied using the endangered Animals . This is based on a piece of callig...
[ 0.02265087328851223, -0.027729559689760208, 0.01834319531917572, 0.02783212624490261, 0.08506397902965546, 0.018611375242471695, 0.005320201627910137, -0.03730669617652893, -0.023302588611841202, 0.07361871004104614, 0.011954211629927158, -0.06105494871735573, 0.02168998122215271, 0.039388...
dccuchile/bert-base-spanish-wwm-cased-finetuned-ner
[ "pytorch", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "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...
81
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.040212348103523254, 0.016207780689001083, 0.014303759671747684, 0.01721424236893654, 0.0486803837120533, -0.013808655552566051, -0.019754109904170036, -0.024318283423781395, -0.018079299479722977, 0.06772004067897797, 0.03582606837153435, -0.008402525447309017, 0.011370825581252575, -0....
dccuchile/bert-base-spanish-wwm-cased-finetuned-qa-mlqa
[ "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...
5
null
--- license: mit tags: - generated_from_keras_callback model-index: - name: VinayakMane47/roberta-base-duplicate-Q-A 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. --> # ...
[ -0.02498307079076767, -0.013260679319500923, 0.0011992926010861993, 0.026789957657456398, 0.036044370383024216, 0.007420097943395376, -0.0076820747926831245, -0.008075708523392677, -0.038240838795900345, 0.04290961101651192, 0.01825404167175293, -0.030501920729875565, 0.021568186581134796, ...
dccuchile/bert-base-spanish-wwm-cased-finetuned-xnli
[ "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: apache-2.0 tags: - generated_from_trainer model-index: - name: finetuned-Sentiment-classfication-BERT-model 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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dccuchile/distilbert-base-spanish-uncased-finetuned-mldoc
[ "pytorch", "distilbert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
27
null
--- tags: - generated_from_trainer datasets: - indosum metrics: - rouge model-index: - name: t5-base-indonesian-summarization-cased-finetuned-indosum results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: indosum type: indosum config...
[ -0.010876539163291454, -0.0315282940864563, -0.009935246780514717, 0.04050618037581444, 0.03782728686928749, -0.00038798386231064796, -0.023274432867765427, -0.040711499750614166, -0.021425025537610054, 0.07389497011899948, 0.036416348069906235, -0.052764423191547394, -0.0038916077464818954,...
dccuchile/distilbert-base-spanish-uncased-finetuned-ner
[ "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, ...
28
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **PPO** Agent playing **CarRacing-v2** This is a trained model of a **PPO** agent playing **CarRacing-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). ## Usa...
[ -0.04972775653004646, -0.013599514029920101, -0.006649293005466461, 0.036269400268793106, 0.029079368337988853, -0.0007392892730422318, -0.02945665828883648, -0.02137538604438305, -0.0007550630834884942, 0.052723828703165054, 0.02124268002808094, -0.02427619695663452, 0.019795937463641167, ...
dccuchile/distilbert-base-spanish-uncased-finetuned-pawsx
[ "pytorch", "distilbert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
29
null
--- datasets: - glue model-index: - name: e5-large-mnli results: [] pipeline_tag: zero-shot-classification language: - en license: mit --- # e5-large-mnli This model is a fine-tuned version of [intfloat/e5-large](https://huggingface.co/intfloat/e5-large) on the glue dataset. ## Model description [Text Embeddings ...
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dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa
[ "pytorch", "distilbert", "question-answering", "transformers", "autotrain_compatible" ]
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, ...
5
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: ChatBot_model 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. --> # ChatBot_model This ...
[ -0.02614542469382286, -0.00924016535282135, -0.01752782054245472, 0.031200667843222618, 0.04945911839604378, 0.015469226986169815, -0.01565738208591938, -0.008650952018797398, -0.03342542052268982, 0.0672089084982872, 0.03756362199783325, -0.014724810607731342, 0.018436385318636894, 0.0423...
CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate-1
[ "pytorch", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
1
null
--- language: en datasets: - custom task_categories: - text-classification task_ids: - sentiment-classification license: apache-2.0 --- Alpaca-LoRA is an open-source project that reproduces results from Stanford Alpaca using Low-Rank Adaptation (LoRA) techniques. It provides an Instruct model of similar quality to text...
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CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate
[ "pytorch", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
7
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: detr-resnet50-leuk 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. --> # detr-resnet50-le...
[ -0.006532182451337576, 0.007303072605282068, 0.002071453258395195, 0.0014941610861569643, 0.0429803729057312, 0.003054599044844508, -0.04280673712491989, -0.01607055962085724, -0.04858753830194473, 0.05951545387506485, 0.0034850039519369602, -0.041372694075107574, 0.016520598903298378, 0.0...
CennetOguz/distilbert-base-uncased-finetuned-recipe
[ "pytorch", "tensorboard", "distilbert", "fill-mask", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
2
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Summarization_model 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. --> # Summarization_...
[ -0.026636546477675438, -0.02338089980185032, 0.0037564090453088284, 0.02861417829990387, 0.02701713889837265, -0.002451049629598856, -0.01845480315387249, -0.0029027308337390423, -0.044176653027534485, 0.05866648256778717, 0.019129404798150063, -0.02472911961376667, 0.016623644158244133, 0...
Chaewon/mnmt_decoder_en_gpt2
[]
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: - vision - image-classification datasets: - imagenet-1k - imagenet-21k widget: - src: >- https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: >- https://huggingface.co/datasets/mishig/sample_images/resolve/main/...
[ -0.04858464375138283, -0.011500765569508076, 0.008007653057575226, 0.043228473514318466, 0.025427276268601418, -0.0032306271605193615, 0.009652401320636272, -0.013703086413443089, -0.014642498455941677, 0.05462042614817619, 0.021168876439332962, -0.0024897234980016947, 0.0031533734872937202,...
ChaitanyaU/FineTuneLM
[]
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: - vae --- diffusers format of blessed2.vae.pt from https://huggingface.co/NoCrypt/blessed_vae
[ -0.0029066218994557858, -0.03292273357510567, 0.0356624536216259, 0.001465661684051156, 0.038945507258176804, 0.0146128349006176, 0.013849083334207535, 0.0011088133323937654, -0.01580333523452282, 0.03766946867108345, 0.006616577040404081, 0.003296653041616082, 0.020924203097820282, 0.0657...
Chakita/Friends
[ "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
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - klue metrics: - f1 model-index: - name: kogpt2-base-v2-8-finetuned-klue-ner results: - task: name: Token Classification type: token-classification dataset: name: klue type: klue config: ner split: validat...
[ -0.017470648512244225, -0.014153759926557541, 0.0200705137103796, 0.012280630879104137, 0.044707704335451126, -0.0045648058876395226, -0.013534599915146828, -0.012219042517244816, -0.033358383923769, 0.05040844529867172, 0.014470886439085007, -0.024939870461821556, 0.014410922303795815, 0....
Chandanbhat/distilbert-base-uncased-finetuned-cola
[]
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 metrics: - rouge model-index: - name: bangla-para-v2-330000 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. -->...
[ -0.009668679907917976, -0.017788346856832504, -0.0008092201896943152, 0.04545576870441437, 0.03557499125599861, 0.025826657190918922, -0.004317629616707563, 0.0061152540147304535, -0.04023536294698715, 0.06449812650680542, 0.017453663051128387, -0.04535389319062233, 0.006178219802677631, 0...
CharlieChen/feedback-bigbird
[]
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
## Getting Started ### Installation **1. Prepare the code and the environment** Git clone our repository, creating a python environment and ativate it via the following command ```bash git clone https://github.com/DLYuanGod/ArtGPT-4.git cd ArtGPT-4 conda env create -f environment.yml conda activate artgpt4 ``` **...
[ -0.04377780482172966, -0.012767658568918705, 0.009001125581562519, 0.03162831813097, 0.04515158757567406, 0.01710931770503521, 0.02232798933982849, -0.02366349846124649, -0.0008550402126275003, 0.05640556663274765, 0.007212277501821518, -0.003840862773358822, 0.006638497579842806, 0.063566...
ChaseBread/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...
9
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037110939621925354, -0.003070251317694783, -0.005147771444171667, 0.025746101513504982, 0.046161893755197525, -0.021281540393829346, -0.005198271479457617, -0.02764749526977539, -0.0335339717566967, 0.06636170297861099, 0.03240088373422623, -0.02336435578763485, 0.022768091410398483, 0....
Cheapestmedsshop/Buymodafinilus
[]
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: unlicense pipeline_tag: question-answering tags: - legal --- ## 介绍 "醉酒律师" 是一种基于 RWKV 架构的自然语言处理模型,通过使用刑法领域的法律问答数据集和法考资料数据集进行训练,可以用来回答与法律相关的问题。该模型可以理解与法律领域相关的自然语言问题,并尽可能给出准确的答案。虽然本模型对法律有一定理解,但并不能保证其所给出的建议具有法律效力。因此给它起名为“醉酒律师”。 ## 使用方法 通过任何支持 RWKV 的程序进行使用,推荐结合 wenda 知识库,效果有提升,但是不多。 注意本模型为lora模型,需要合并基础模型进...
[ -0.01687730848789215, -0.028128957375884056, -0.006490502040833235, 0.032333992421627045, 0.04315168783068657, 0.005452482495456934, -0.0023307616356760263, 0.0056238179095089436, -0.039635177701711655, 0.05068160593509674, 0.04230997711420059, 0.0042810277082026005, 0.03118715062737465, 0...
Cheatham/xlm-roberta-large-finetuned-d1
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
null
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/model-cards {} --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base tem...
[ -0.03477105498313904, -0.01037435233592987, 0.00011377478222129866, 0.015253852121531963, 0.02282647229731083, 0.044932618737220764, -0.020595461130142212, -0.026462821289896965, -0.028890972957015038, 0.04969323053956032, 0.022915950044989586, -0.006789288017898798, 0.03135347738862038, 0...
Cheatham/xlm-roberta-large-finetuned-d1r01
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
21
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: reinforce-cart-pole results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: m...
[ -0.03277180716395378, 0.018865929916501045, 0.0031289972830563784, 0.007795175537467003, 0.048154566437006, -0.017534416168928146, -0.02188529260456562, -0.0201075728982687, -0.03484783321619034, 0.08300686627626419, 0.01989775523543358, -0.010817812755703926, 0.012825588695704937, 0.01926...
Cheatham/xlm-roberta-large-finetuned3
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
22
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02069530449807644, -0.0031012599356472492, 0.011093078181147575, 0.037341054528951645, 0.03155868127942085, 0.017272042110562325, -0.02848161570727825, -0.014321674592792988, -0.01635986939072609, 0.06229524314403534, 0.006625444162636995, -0.00002406842941127252, 0.011366265825927258, ...
Chester/traffic-rec
[]
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 model-index: - name: distilbert-base-uncased-finetuned-discord 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. ...
[ -0.01369681116193533, 0.01809658296406269, -0.028814155608415604, 0.03138238564133644, 0.05210251361131668, 0.014828506857156754, -0.0062636942602694035, -0.013360689394176006, -0.041777823120355606, 0.048962514847517014, 0.03123980574309826, -0.02837631106376648, 0.011301551945507526, 0.0...
Chinat/test-classifier
[]
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: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.04165918752551079, -0.0011645188787952065, -0.006610228680074215, 0.04722956195473671, 0.02427302673459053, 0.020619656890630722, -0.025308722630143166, -0.03264836221933365, -0.0031200838275253773, 0.04926319792866707, 0.02006404474377632, -0.014227966777980328, 0.019814491271972656, 0...
Ching/negation_detector
[ "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...
9
null
--- tags: - tabular-classification - sklearn datasets: - wine-quality - lvwerra/red-wine widget: structuredData: fixed_acidity: - 7.4 - 7.8 - 10.3 volatile_acidity: - 0.7 - 0.88 - 0.32 citric_acid: - 0 - 0 - 0.45 residual_sugar: - 1.9 - 2.6 - 6.4 chl...
[ -0.023174233734607697, -0.017065243795514107, -0.0030352880712598562, 0.04822788015007973, 0.040560368448495865, 0.016184650361537933, -0.025180188938975334, 0.01625719666481018, -0.0288709606975317, 0.05424254387617111, 0.028873436152935028, 0.02881518378853798, 0.01748603768646717, 0.033...
Chiuchiyin/DialoGPT-small-Donald
[ "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...
7
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - klue metrics: - f1 model-index: - name: kogpt2-base-v2-finetuned-klue-ner results: - task: name: Token Classification type: token-classification dataset: name: klue type: klue config: ner split: validatio...
[ -0.016647858545184135, -0.014463351108133793, 0.01761006750166416, 0.013555612415075302, 0.044245485216379166, -0.003955326043069363, -0.01351990457624197, -0.011677086353302002, -0.034965552389621735, 0.0482511892914772, 0.011706668883562088, -0.026184700429439545, 0.010932041332125664, 0...
ChoboAvenger/DialoGPT-small-joshua
[]
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 datasets: - mlengineer-ai/jomleh language: - fa metrics: - perplexity tags: - kneser-ney - n-gram - kenlm --- # KenLM models for Farsi This repository contains KenLM models trained on the Jomleh dataset for the Farsi (Persian) language. Among the various use cases for KenLM language models, the model...
[ -0.025179771706461906, -0.03403071314096451, -0.008334952406585217, 0.05351264029741287, 0.0175849087536335, 0.020771043375134468, 0.00337995495647192, -0.011734549887478352, -0.04702029377222061, 0.0648866817355156, 0.025769738480448723, -0.00964804831892252, 0.012212664820253849, 0.04448...
ChrisVCB/DialoGPT-medium-cmjs
[ "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...
7
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: bangla-para-v2-360000 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. -->...
[ -0.008941160514950752, -0.017506618052721024, 0.0006222384981811047, 0.04574663192033768, 0.03539424389600754, 0.026593845337629318, -0.004221259616315365, 0.007754487916827202, -0.04010583087801933, 0.06494081020355225, 0.01585586927831173, -0.04603573679924011, 0.005968968849629164, 0.04...
ChrisVCB/DialoGPT-medium-ej
[ "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
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice metrics: - wer model-index: - name: wav2vec2-large-xlsr-53-demo-colab results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice type: common_voice ...
[ -0.03608090430498123, 0.008114516735076904, -0.02234007976949215, 0.03460598737001419, 0.052658285945653915, 0.026636190712451935, -0.010596231557428837, -0.016191748902201653, -0.01796736940741539, 0.04971010610461235, 0.03782922029495239, -0.027124393731355667, 0.005316681694239378, 0.03...
ChristopherA08/IndoELECTRA
[ "pytorch", "electra", "pretraining", "id", "dataset:oscar", "transformers" ]
null
{ "architectures": [ "ElectraForPreTraining" ], "model_type": "electra", "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
--- tags: - conversational language: - en --- # Luffy DialoGPT Model
[ -0.01872660405933857, -0.003161646192893386, 0.01139264740049839, 0.019630804657936096, 0.028896203264594078, 0.01337430439889431, 0.0014207597123458982, 0.0156044727191329, 0.003315467620268464, 0.032312795519828796, 0.030237248167395592, -0.027876747772097588, 0.003798686433583498, 0.037...
Chuah/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...
9
null
--- language: ja license: mit datasets: - mC4-ja --- # electra-base-japanese-discriminator (sudachitra-wordpiece, mC4 Japanese) - [SHINOBU](https://dl.ndl.go.jp/info:ndljp/pid/1302683/3) This is an [ELECTRA](https://github.com/google-research/electra) model pretrained on approximately 200M Japanese sentences. The in...
[ -0.014479357749223709, -0.045581333339214325, 0.008079414255917072, 0.04724281653761864, 0.028670329600572586, 0.02921663410961628, 0.003853863338008523, 0.0006040614098310471, -0.06904809176921844, 0.07581529766321182, 0.008346634916961193, 0.0019230963662266731, 0.01539207436144352, 0.04...
ChukSamuels/DialoGPT-small-Dr.FauciBot
[ "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
Access to model keshavkmr076/autotrain-text-classifier-56143130340 is restricted and you are not in the authorized list. Visit https://huggingface.co/keshavkmr076/autotrain-text-classifier-56143130340 to ask for access.
[ -0.03726572543382645, -0.0028275998774915934, -0.0070318253710865974, 0.021998688578605652, 0.049198076128959656, 0.029439901933073997, -0.00882288720458746, -0.010527712292969227, -0.04364047572016716, 0.03998921066522598, 0.02100832760334015, 0.0054334597662091255, 0.012910758145153522, ...
Chun/DialoGPT-large-dailydialog
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "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
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: cool-cattos results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.7083333134651184 --- # cool-cattos Autogene...
[ -0.020826255902647972, -0.016381388530135155, 0.021367385983467102, 0.04835853353142738, 0.029729343950748444, 0.005806113127619028, -0.03026469424366951, -0.008738267235457897, -0.008640512824058533, 0.04336821287870407, 0.01982477493584156, 0.0027598575688898563, 0.010509766638278961, 0....
Chun/DialoGPT-small-dailydialog
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "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
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - klue metrics: - f1 model-index: - name: kogpt2-base-v2-finetuned-klue-ner results: - task: name: Token Classification type: token-classification dataset: name: klue type: klue config: ner split: validatio...
[ -0.016144851222634315, -0.014948956668376923, 0.018088463693857193, 0.01346112135797739, 0.04512910917401314, -0.005208086688071489, -0.013072443194687366, -0.0112735815346241, -0.03427167981863022, 0.04854936897754669, 0.011852437630295753, -0.025299709290266037, 0.010846370831131935, 0.0...
Chun/w-en2zh-otm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - klue metrics: - f1 model-index: - name: kogpt2-base-v2-finetuned-klue-ner results: - task: name: Token Classification type: token-classification dataset: name: klue type: klue config: ner split: validatio...
[ -0.01638537272810936, -0.015860943123698235, 0.01812952570617199, 0.01330634206533432, 0.045241910964250565, -0.004792028572410345, -0.013725005090236664, -0.011605818755924702, -0.03396063297986984, 0.04881260171532631, 0.010871494188904762, -0.02516350895166397, 0.01124358270317316, 0.03...
Chun/w-zh2en-mtm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- license: apache-2.0 language: - en tags: - sft pipeline_tag: text-generation widget: - text: <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|> - text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|> - text: <|prompter|>Write a story abou...
[ -0.030827654525637627, -0.027636785060167313, -0.017113735899329185, 0.029502078890800476, 0.059383537620306015, 0.02278466336429119, 0.0013776745181530714, -0.003198538674041629, -0.04481452703475952, 0.049528803676366806, 0.02052146941423416, -0.000027858275643666275, -0.006380293052643537...
Chungu424/repo
[]
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 datasets: - antonovmaxim/kodIIm_14 - competitions/aiornot metrics: - accuracy pipeline_tag: image-classification --- https://wandb.ai/maximantonov/KodIIm/
[ -0.048173192888498306, -0.00661402428522706, -0.010452287271618843, 0.004218111280351877, 0.06527666747570038, -0.013318394310772419, -0.020881962031126022, -0.005564982537180185, -0.04489537701010704, 0.039358966052532196, 0.026940735056996346, 0.01887788437306881, 0.01610170118510723, 0....
Chungu424/repodata
[]
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: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-last-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola ...
[ -0.01716664992272854, 0.009437400847673416, -0.01516401395201683, 0.03425746411085129, 0.06283610314130783, 0.02047327719628811, -0.031207524240016937, -0.028315287083387375, -0.05122146010398865, 0.05100523680448532, 0.029059581458568573, -0.012431880459189415, 0.025625985115766525, 0.031...
Ci/Pai
[]
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: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split...
[ -0.025268644094467163, 0.0051088533364236355, -0.012588177807629108, 0.044293083250522614, 0.05866733565926552, 0.02522391453385353, -0.0221765898168087, -0.024273063987493515, -0.045516982674598694, 0.0555187352001667, 0.03089441917836666, -0.005808733403682709, 0.021352441981434822, 0.03...
ClaudeYang/awesome_fb_model
[ "pytorch", "bart", "text-classification", "dataset:multi_nli", "transformers", "zero-shot-classification" ]
zero-shot-classification
{ "architectures": [ "BartForSequenceClassification" ], "model_type": "bart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
26
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: bangla-para-v2-390000 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. -->...
[ -0.008925997652113438, -0.01712644286453724, -0.00026351725682616234, 0.04643069580197334, 0.0353894978761673, 0.02614578604698181, -0.004316431004554033, 0.006846100557595491, -0.040774866938591, 0.06470438092947006, 0.016627708449959755, -0.0457489974796772, 0.006288682110607624, 0.04004...
CleveGreen/FieldClassifier_v2
[ "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...
46
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split...
[ -0.01852370612323284, 0.008397763594985008, -0.011719580739736557, 0.03834608942270279, 0.05997486039996147, 0.018641913309693336, -0.03030860424041748, -0.0243062824010849, -0.04276999086141586, 0.052696049213409424, 0.0217207632958889, -0.009817535988986492, 0.02667766623198986, 0.035637...
CoShin/XLM-roberta-large_ko_en_nil_sts
[]
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: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037078965455293655, -0.0022790243383497, -0.005276586394757032, 0.0256956797093153, 0.04536926746368408, -0.021080289036035538, -0.005798534024506807, -0.027453644201159477, -0.03332621231675148, 0.06593222916126251, 0.03236469626426697, -0.023074202239513397, 0.023087669163942337, 0.00...
CoachCarter/distilbert-base-uncased
[]
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: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split...
[ -0.018070973455905914, 0.00824061594903469, -0.012413617223501205, 0.038681287318468094, 0.06069882959127426, 0.01925295777618885, -0.029926065355539322, -0.02413984388113022, -0.042641472071409225, 0.053202349692583084, 0.0223485566675663, -0.008475611917674541, 0.026040859520435333, 0.03...
CodeDanCode/SP-KyleBot
[ "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...
15
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: vaibhav19341/DLA3-de-en-finetune 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. --> # v...
[ -0.018796250224113464, -0.024076730012893677, 0.018358012661337852, 0.011292622424662113, 0.043434932827949524, 0.009071188047528267, -0.014718135818839073, -0.004746043123304844, -0.04733619838953018, 0.06268101185560226, 0.01805446855723858, -0.03934217616915703, 0.023630833253264427, 0....
CodeNinja1126/bert-p-encoder
[ "pytorch" ]
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...
3
null
--- language: - en tags: - stable-diffusion - text-to-image license: creativeml-openrail-m inference: false --- # Test LoRAs for Waifu Diffusion v1.3 These LoRAs are **experimental** LoRAs for WD1.3 to produce high resolution or different aspect ratio images. ## Model Description They have fine-tuned from the orig...
[ 0.002829137723892927, -0.030855588614940643, -0.006153925321996212, 0.03623073548078537, 0.054073747247457504, 0.001963371178135276, 0.02046855539083481, -0.00854984950274229, -0.009952768683433533, 0.058004382997751236, 0.027690591290593147, -0.023115862160921097, 0.00926574133336544, 0.0...
CodeNinja1126/xlm-roberta-large-kor-mrc
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
8
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - klue metrics: - f1 model-index: - name: kogpt2-base-v2-finetuned-klue-ner results: - task: name: Token Classification type: token-classification dataset: name: klue type: klue config: ner split: validatio...
[ -0.016144851222634315, -0.014948956668376923, 0.018088463693857193, 0.01346112135797739, 0.04512910917401314, -0.005208086688071489, -0.013072443194687366, -0.0112735815346241, -0.03427167981863022, 0.04854936897754669, 0.011852437630295753, -0.025299709290266037, 0.010846370831131935, 0.0...
CoderEFE/DialoGPT-marxbot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational", "has_space" ]
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
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: distilbert-ft-test3 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. --> # distilbert-ft-...
[ -0.02436102367937565, -0.018999813124537468, -0.034852035343647, 0.030584417283535004, 0.04064616933465004, 0.041766200214624405, -0.01265549473464489, -0.03029833920300007, -0.04559749364852905, 0.060091763734817505, 0.026224786415696144, -0.018634770065546036, 0.014387430623173714, 0.036...
CoffeeAddict93/gpt1-modest-proposal
[ "pytorch", "openai-gpt", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "OpenAIGPTLMHeadModel" ], "model_type": "openai-gpt", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
11
null
--- license: mit tags: - generated_from_trainer datasets: - dialdoc model-index: - name: 03-tinybert-local 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. --> # 03-t...
[ -0.04420038312673569, 0.0028645710553973913, -0.02792333997786045, 0.044518910348415375, 0.0300942100584507, 0.016482055187225342, -0.01938696950674057, -0.012141423299908638, -0.018195154145359993, 0.04786454141139984, 0.0016236328519880772, -0.03288467600941658, 0.010768973268568516, 0.0...
CoffeeAddict93/gpt2-medium-call-of-the-wild
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - klue metrics: - f1 model-index: - name: kobert-finetuned-klue-ner results: - task: name: Token Classification type: token-classification dataset: name: klue type: klue config: ner split: validation args:...
[ -0.01847136951982975, -0.0045433687046170235, 0.012889557518064976, 0.013216323219239712, 0.04051196575164795, 0.010982084088027477, -0.023154985159635544, -0.019141225144267082, -0.036360450088977814, 0.05004126578569412, 0.010156222619116306, -0.026351628825068474, 0.022157229483127594, ...
CoffeeAddict93/gpt2-medium-modest-proposal
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.0292340237647295, 0.01823023334145546, 0.003660630900412798, 0.009176398627460003, 0.04400138556957245, -0.01899772323668003, -0.021622175350785255, -0.015784479677677155, -0.029898837208747864, 0.0846095085144043, 0.01731882616877556, -0.008446605876088142, 0.017369555309414864, 0.0164...
CogComp/bart-faithful-summary-detector
[ "pytorch", "jax", "bart", "text-classification", "en", "dataset:xsum", "transformers", "xsum", "license:cc-by-sa-4.0" ]
text-classification
{ "architectures": [ "BartForSequenceClassification" ], "model_type": "bart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": 1, "max_length": 128, "min_length": 12, "no_repeat_ng...
234
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: codeparrot-small-custom-functions-dataset-python 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...
[ -0.03807418793439865, -0.011522338725626469, 0.003286364721134305, 0.029386823996901512, 0.0373324491083622, -0.0015287285204976797, -0.015326784923672676, -0.011949035339057446, -0.0263818446546793, 0.060104671865701675, 0.007869775407016277, -0.02783765085041523, 0.008175374008715153, 0....
CohleM/mbert-nepali-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
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03776846081018448, -0.002447912935167551, -0.005011220928281546, 0.025392625480890274, 0.04520039260387421, -0.021198110654950142, -0.005320341791957617, -0.02746064029633999, -0.03316397964954376, 0.06682988256216049, 0.032026857137680054, -0.023530276492238045, 0.023215537890791893, 0...
ComCom/gpt2-medium
[ "pytorch", "gpt2", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "GPT2Model" ], "model_type": "gpt2", "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...
5
null
经过P-Tuning训练的model用于Inference **Usage** # Load the configuration and model: from peft import PeftModel, PeftConfig peft_model_id = "Laurie/t5-large_PREFIX_TUNING_SEQ2SEQ" config = PeftConfig.from_pretrained(peft_model_id) model = AutoModelForSeq2SeqLM.from_pretrained(config.base_model_name_or_...
[ -0.0337400920689106, -0.010338978841900826, -0.0031639852095395327, 0.04458148032426834, 0.034238915890455246, 0.04760577529668808, 0.012366804294288158, -0.005925809498876333, -0.04693467170000076, 0.037485089153051376, 0.024034367874264717, -0.0009509685332886875, 0.014669532887637615, 0...
cometrain/neurotitle-rugpt3-small
[ "pytorch", "gpt2", "text-generation", "ru", "en", "dataset:All-NeurIPS-Papers-Scraper", "transformers", "Cometrain AutoCode", "Cometrain AlphaML", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
20
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue model-index: - name: bert-base-uncased-finetuned-cola 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 c...
[ -0.02895960956811905, 0.007878136821091175, -0.020936142653226852, 0.0379723384976387, 0.059126172214746475, 0.023105962201952934, -0.01793476566672325, -0.017174411565065384, -0.04356862232089043, 0.05234663933515549, 0.028256716206669807, -0.011972125619649887, 0.027267003431916237, 0.03...
Connor-tech/bert_cn_finetuning
[ "pytorch", "jax", "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
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartpole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.0321989543735981, 0.01844366081058979, 0.0033426813315600157, 0.008161252364516258, 0.04424279183149338, -0.020240165293216705, -0.023479627445340157, -0.016958575695753098, -0.032236337661743164, 0.08558143675327301, 0.018067579716444016, -0.010222003795206547, 0.017235340550541878, 0....
Contrastive-Tension/BERT-Distil-CT
[ "pytorch", "tf", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
9
null
Access to model chaudhary/wav2vec2-mono-urdu-10h-cv13 is restricted and you are not in the authorized list. Visit https://huggingface.co/chaudhary/wav2vec2-mono-urdu-10h-cv13 to ask for access.
[ -0.03955014795064926, -0.016108041629195213, 0.011668591760098934, 0.02882629632949829, 0.04149449244141579, 0.008854969404637814, -0.0066682216711342335, 0.010440569370985031, -0.04806724935770035, 0.04062940180301666, 0.04168803244829178, -0.0048665618523955345, 0.0021969578228890896, 0....
Cryptikdw/DialoGPT-small-rick
[ "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...
7
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...
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CurtisBowser/DialoGPT-small-sora
[ "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...
7
null
--- language: - ko --- https://github.com/bab2min/kiwi-farm
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Czapla/Rick
[]
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: cc-by-4.0 tags: - generated_from_trainer datasets: - subjqa model-index: - name: m_bert_base_qa_model 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. -->...
[ -0.026336099952459335, -0.015707390382885933, -0.027494337409734726, 0.05199231952428818, 0.03251694142818451, 0.013767651282250881, -0.019821781665086746, -0.010120740160346031, -0.03877889737486839, 0.031653355807065964, -0.001659829169511795, -0.03659027814865112, 0.012661698274314404, ...
D-Keqi/espnet_asr_train_asr_streaming_transformer_raw_en_bpe500_sp_valid.acc.ave
[]
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...
11
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split...
[ -0.025028269737958908, 0.0056466711685061455, -0.0116133326664567, 0.043344009667634964, 0.0582333542406559, 0.024385672062635422, -0.02168905735015869, -0.024356309324502945, -0.04599364846944809, 0.055946119129657745, 0.03108702041208744, -0.005047732964158058, 0.021674510091543198, 0.03...
D3vil/DialoGPT-smaall-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: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: fine-tuned-DatasetQAS-TYDI-QA-ID-with-indobert-large-p2-with-ITTL-with-freeze-LR-1e-05 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably p...
[ -0.005361495073884726, 0.0022601934615522623, 0.0020234170369803905, 0.04094035178422928, 0.0426119826734066, -0.005951582919806242, -0.011067889630794525, -0.018341492861509323, -0.03207586333155632, 0.04412217438220978, -0.004521596245467663, -0.025062216445803642, 0.02259877137839794, 0...
D3xter1922/distilbert-base-uncased-finetuned-cola
[]
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: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037711672484874725, -0.002659384859725833, -0.005534220952540636, 0.02561543881893158, 0.045783091336488724, -0.02126796543598175, -0.0053435624577105045, -0.027654942125082016, -0.032869789749383926, 0.06647344678640366, 0.03202866017818451, -0.02354111708700657, 0.022258270531892776, ...
D3xter1922/electra-base-discriminator-finetuned-cola
[ "pytorch", "tensorboard", "electra", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
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, "...
68
null
DrQA --- A pytorch implementation of the ACL 2017 paper [Reading Wikipedia to Answer Open-Domain Questions](http://www-cs.stanford.edu/people/danqi/papers/acl2017.pdf) (DrQA). Reading comprehension is a task to produce an answer when given a question and one or more pieces of evidence (usually natural language paragra...
[ 0.007447239942848682, -0.029268812388181686, -0.022051189094781876, 0.03783224895596504, 0.03839447721838951, -0.015207326970994473, -0.008978222496807575, -0.0033339092042297125, -0.07390180975198746, 0.01790475659072399, 0.049248479306697845, 0.024575524032115936, 0.03727561980485916, 0....
DHBaek/xlm-roberta-large-korquad-mask
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
9
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.028794702142477036, -0.00497332913801074, -0.017184171825647354, 0.05118328332901001, 0.036624908447265625, 0.02592618763446808, 0.00022551625443156809, -0.03431636095046997, -0.026984062045812607, 0.046971600502729416, 0.026294099166989326, -0.008348415605723858, 0.02021665684878826, 0...
DJSammy/bert-base-swedish-uncased_BotXO-ai
[ "pytorch", "transformers" ]
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...
1
null
--- license: openrail language: - en metrics: - accuracy library_name: diffusers pipeline_tag: text-to-image tags: - art datasets: - pydan/mvdataset ---
[ -0.00911187008023262, -0.0094531811773777, 0.00016573027824051678, 0.01706126518547535, 0.05914795398712158, 0.008258689194917679, -0.007004954852163792, 0.008331513963639736, -0.0185787845402956, 0.05364735797047615, 0.018875176087021828, 0.01996265910565853, -0.001218133489601314, 0.0480...
DKpro000/DialoGPT-medium-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
null
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: fine-tuned-DatasetQAS-Squad-ID-with-xlm-roberta-large-with-ITTL-with-freeze-LR-1e-05 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably pro...
[ -0.02159791998565197, 0.003348823171108961, 0.009400974027812481, 0.036628324538469315, 0.05087989568710327, 0.004462262149900198, -0.029954122379422188, -0.014149677939713001, -0.026456350460648537, 0.03145736828446388, -0.0000035034950087720063, -0.03233419358730316, 0.013587773777544498, ...
DTAI-KULeuven/robbertje-1-gb-bort
[ "pytorch", "roberta", "fill-mask", "nl", "dataset:oscar", "dataset:oscar (NL)", "dataset:dbrd", "dataset:lassy-ud", "dataset:europarl-mono", "dataset:conll2002", "arxiv:2101.05716", "transformers", "Dutch", "Flemish", "RoBERTa", "RobBERT", "RobBERTje", "license:mit", "autotrain_c...
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...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: bangla-para-v2-420000 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. -->...
[ -0.010092121548950672, -0.01618981547653675, -0.0009714973857626319, 0.04758799076080322, 0.03468943014740944, 0.0261019729077816, -0.005063096527010202, 0.0064858319237828255, -0.04120699316263199, 0.06504377722740173, 0.016992494463920593, -0.046428728848695755, 0.007585281040519476, 0.0...
Daltcamalea01/Camaleaodalt
[]
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: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-mean-pooling-finetuned3-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: co...
[ -0.021412527188658714, 0.009285497479140759, -0.012853830121457577, 0.0397668331861496, 0.05550026893615723, 0.02159729413688183, -0.027691781520843506, -0.02964208275079727, -0.050468042492866516, 0.052638549357652664, 0.0227020476013422, -0.0064950864762067795, 0.01723404787480831, 0.034...
DataikuNLP/camembert-base
[ "pytorch", "tf", "camembert", "fill-mask", "fr", "dataset:oscar", "arxiv:1911.03894", "transformers", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "CamembertForMaskedLM" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_...
8
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # e7ekh4g8vn3 API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/20751372981683469634.png) ## Get API ...
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DataikuNLP/distiluse-base-multilingual-cased-v1
[ "pytorch", "distilbert", "arxiv:1908.10084", "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "license:apache-2.0" ]
sentence-similarity
{ "architectures": [ "DistilBertModel" ], "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_ngra...
29
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split...
[ -0.017886102199554443, 0.008566536009311676, -0.012158761732280254, 0.037941303104162216, 0.060202669352293015, 0.019552171230316162, -0.030967343598604202, -0.024307219311594963, -0.042345546185970306, 0.05379103869199753, 0.022972188889980316, -0.008020802401006222, 0.02691272273659706, ...
DavidAMcIntosh/DialoGPT-small-rick
[]
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: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016941390931606293, -0.017937982454895973, -0.007005860097706318, 0.030586887151002884, 0.050916530191898346, -0.017310628667473793, -0.01148589700460434, -0.008852772414684296, -0.05949294567108154, 0.05358363315463066, -0.001765583292581141, -0.01038341037929058, 0.02566869929432869, ...
Davlan/bert-base-multilingual-cased-finetuned-igbo
[ "pytorch", "bert", "fill-mask", "transformers", "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...
15
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03735515475273132, -0.002626997185871005, -0.005160607863217592, 0.025462878867983818, 0.04572783783078194, -0.02151997573673725, -0.005092096980661154, -0.02764890156686306, -0.033298954367637634, 0.06660161167383194, 0.0326225645840168, -0.023342296481132507, 0.022805243730545044, 0.0...
Davlan/bert-base-multilingual-cased-finetuned-luganda
[ "pytorch", "bert", "fill-mask", "transformers", "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...
16
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.03991508483886719, 0.015215329825878143, 0.014002772979438305, 0.017709551379084587, 0.049896083772182465, -0.013350574299693108, -0.01947239227592945, -0.024005569517612457, -0.017644312232732773, 0.06793177872896194, 0.03594931960105896, -0.008322463370859623, 0.011285367421805859, -0...
Davlan/naija-twitter-sentiment-afriberta-large
[ "pytorch", "tf", "xlm-roberta", "text-classification", "arxiv:2201.08277", "transformers", "has_space" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
61
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.46 +/- 2...
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Davlan/xlm-roberta-base-finetuned-chichewa
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
5
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split...
[ -0.025036050006747246, 0.005716053768992424, -0.011222438886761665, 0.04298738017678261, 0.0581720806658268, 0.024279849603772163, -0.021840495988726616, -0.02419784851372242, -0.046424560248851776, 0.055084701627492905, 0.03184017911553383, -0.005610086023807526, 0.02214834652841091, 0.03...
Davlan/xlm-roberta-large-masakhaner
[ "pytorch", "tf", "xlm-roberta", "token-classification", "arxiv:2103.11811", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
1,449
2023-05-07T15:53:26Z
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Pixar_mode Dreambooth model trained by Aditya-T with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook Build your own using...
[ -0.03787548467516899, -0.01174718514084816, -0.021228857338428497, 0.03580120950937271, 0.05446531996130943, 0.006149696186184883, -0.000251727644354105, -0.009423880837857723, 0.0006981725455261767, 0.04433640465140343, 0.041195761412382126, 0.006152166053652763, -0.004113160539418459, 0....
Dazai/Ko
[]
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 metrics: - accuracy model-index: - name: Text_classification_HW 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....
[ -0.008589745499193668, -0.015021226368844509, -0.026714494451880455, 0.05263137072324753, 0.03820157051086426, 0.02405068837106228, -0.028056073933839798, -0.02123549021780491, -0.04240577667951584, 0.06043729558587074, 0.027529777958989143, -0.009393350221216679, 0.010606719180941582, 0.0...
Declan/Breitbart_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "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...
9
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # vne732h9dh4 API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/19599696541683476954.png) ## Get API ...
[ -0.03560192510485649, -0.03908080607652664, -0.009346428327262402, 0.014952941797673702, 0.04433472082018852, 0.013231401331722736, -0.01362563669681549, 0.00046371156349778175, -0.010610803961753845, 0.048482537269592285, 0.043158892542123795, -0.005678882356733084, 0.017435630783438683, ...
Declan/Breitbart_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "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...
3
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Textclassification-Bert 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. --> # Textclassi...
[ -0.013794440776109695, -0.002919908380135894, -0.02861839532852173, 0.04813068360090256, 0.02924399822950363, 0.028942814096808434, -0.02348322793841362, -0.032950468361377716, -0.02728581242263317, 0.050363875925540924, 0.01586669497191906, -0.020651252940297127, 0.02205331064760685, 0.03...
Declan/HuffPost_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "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...
3
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037497490644454956, -0.0029711928218603134, -0.005281612742692232, 0.025886191055178642, 0.04632502794265747, -0.021380871534347534, -0.005504388827830553, -0.028181368485093117, -0.032494012266397476, 0.06644324213266373, 0.03245164826512337, -0.02351703867316246, 0.022471044212579727, ...
Declan/HuffPost_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "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...
3
null
--- tags: - generated_from_trainer datasets: - xnli_bn metrics: - accuracy model-index: - name: rafsankabir/Finetuned_NLI_FinalE5_v2 results: - task: name: Text Classification type: text-classification dataset: name: xnli_bn type: xnli_bn config: xnli_bn split: validation ...
[ 0.00038119766395539045, -0.01196457352489233, -0.00852141436189413, 0.025629671290516853, 0.02410213276743889, 0.03538286313414574, -0.029608825221657753, -0.036061566323041916, -0.03582094982266426, 0.03903263434767723, 0.031715769320726395, -0.002695799106732011, 0.006344898138195276, 0....
Declan/Politico_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "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...
3
2023-05-07T18:06:09Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: uraskargi/bert-base-cased-fine-tuned-0 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. --...
[ -0.024329625070095062, 0.0013076995965093374, -0.009562289342284203, 0.030971860513091087, 0.03358492627739906, 0.014405581168830395, -0.02199675515294075, -0.020445287227630615, -0.04077056050300598, 0.05886343494057655, 0.020159827545285225, -0.02992703579366207, 0.031234726309776306, 0....
Declan/Politico_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "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...
5
null
--- license: creativeml-openrail-m --- https://civitai.com/models/59932/silver-wolf-honkai-star-rail
[ -0.04728977009654045, -0.012104634195566177, -0.013825376518070698, 0.022155558690428734, 0.03589591011404991, 0.016846049576997757, -0.01206238567829132, -0.004530492704361677, -0.04256021976470947, 0.04004969820380211, 0.0495961494743824, -0.0027168148662894964, 0.03161650896072388, 0.02...
Declan/Politico_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "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...
7
null
--- license: creativeml-openrail-m --- https://civitai.com/models/60058/loki-fire-emblem-heroes-lora
[ -0.02888457290828228, 0.007361249532550573, 0.009873857721686363, 0.0149267902597785, 0.05912947654724121, 0.0021007161121815443, -0.005962871480733156, -0.02266349457204342, -0.04164507985115051, 0.03629152104258537, 0.05250880867242813, -0.013302825391292572, 0.04382803663611412, 0.03300...
Declan/Politico_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "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...
3
null
--- license: creativeml-openrail-m --- https://civitai.com/models/54802/bronya-rand-or-honkai-star-rail
[ -0.056751422584056854, -0.01752494089305401, 0.0009585529915057123, 0.009407720528542995, 0.029766103252768517, -0.0007656929083168507, 0.006729848217219114, -0.0005140033317729831, -0.043638572096824646, 0.029638126492500305, 0.049886830151081085, -0.018743621185421944, 0.009010600857436657...
Declan/Politico_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "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...
7
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: uraskargi/bert-base-cased-fine-tuned-1 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. --...
[ -0.02634042128920555, 0.0014109913026914, -0.009883066639304161, 0.033142462372779846, 0.03304244950413704, 0.01543476339429617, -0.02044621668756008, -0.02059020847082138, -0.04038281738758087, 0.058560214936733246, 0.01902146264910698, -0.03040095791220665, 0.02837119996547699, 0.0386112...
Declan/WallStreetJournal_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "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...
3
null
--- license: creativeml-openrail-m --- https://civitai.com/models/47002/animechar-oshi-mix-or-hoshino-ai
[ -0.021254926919937134, -0.026929128915071487, -0.0012092838296666741, 0.023986071348190308, 0.04775913804769516, -0.020906951278448105, 0.012771478854119778, 0.0006562731578014791, -0.03636074811220169, 0.05771614611148834, 0.04942590370774269, 0.03269479051232338, 0.03339410573244095, 0.0...
Declan/WallStreetJournal_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "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...
9
null
--- license: creativeml-openrail-m --- https://civitai.com/models/57730/cow-girl-goblin-slayer
[ -0.05353124812245369, -0.009227331727743149, -0.01218009740114212, 0.00838284008204937, 0.082591712474823, 0.007883582264184952, -0.004245216026902199, -0.0026514260098338127, -0.021076131612062454, 0.053859010338783264, 0.05603211373090744, 0.02412448450922966, 0.02691156230866909, 0.0358...
Declan/WallStreetJournal_model_v6
[]
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: creativeml-openrail-m --- https://civitai.com/models/57726/hyoudou-michiru-saekano
[ -0.03956015408039093, -0.0169118233025074, -0.005040629301220179, 0.012688574381172657, 0.04204699397087097, 0.020800869911909103, 0.0053174905478954315, 0.0029572872444987297, -0.048486270010471344, 0.05990760773420334, 0.05194633826613426, 0.021026451140642166, 0.04768183082342148, 0.046...
Declan/WallStreetJournal_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "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...
9
null
--- license: creativeml-openrail-m --- https://civitai.com/models/54498/akagi-azur-lane-deep-crimson-poppy-wedding
[ -0.02846331149339676, -0.028240792453289032, -0.014672321267426014, 0.04092928022146225, 0.03020511008799076, -0.007706659380346537, -0.013802495785057545, 0.017131416127085686, -0.03795516863465309, 0.046200305223464966, 0.07332756370306015, 0.039636313915252686, 0.016585491597652435, 0.0...
Declan/test_push
[]
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: creativeml-openrail-m --- https://civitai.com/models/54652/anila-granblue-fantasy
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