modelId
stringlengths
4
81
tags
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pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
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51
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Alexander-Learn/bert-finetuned-squad-accelerate
[]
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: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: RL-unit4-reinforce-Pixelcopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-P...
[ -0.040261875838041306, 0.016897425055503845, 0.013192185200750828, 0.019422497600317, 0.05107239633798599, -0.011768427677452564, -0.022291403263807297, -0.02641201764345169, -0.01818346418440342, 0.066499724984169, 0.034955598413944244, -0.006278028711676598, 0.01094131451100111, -0.00827...
Alexander-Learn/bert-finetuned-squad
[ "pytorch", "tensorboard", "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...
7
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer model-index: - name: layout-xlm-geocite-v2 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. --> # layout-x...
[ -0.027152637019753456, -0.008065538480877876, -0.014973079785704613, 0.03492709994316101, 0.032580919563770294, 0.01841094344854355, -0.006344369146972895, -0.006873638369143009, -0.03772730380296707, 0.06962179392576218, 0.03655271604657173, -0.015560653991997242, 0.010886569507420063, 0....
AliPotter24/a
[]
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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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AliReza/distilbert-emotion
[]
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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
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Aloka/mbart50-ft-si-en
[ "pytorch", "tensorboard", "mbart", "text2text-generation", "transformers", "generated_from_trainer", "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...
4
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/- 2.63...
[ -0.02036193758249283, -0.016071543097496033, -0.009337094612419605, 0.026137525215744972, 0.049667805433273315, -0.00048636129940859973, -0.01705378293991089, 0.004918023478239775, -0.03539051488041878, 0.0494019091129303, 0.016244452446699142, -0.008073044940829277, 0.01020591426640749, 0...
Alstractor/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
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, ...
40
null
--- license: agpl-3.0 --- Model is developed in support of the University of Belgrade doctoral dissertation "Composite pseudogrammars based on parallel language models of Serbian" by Mihailo Škorić. It generates syntactly masked sentences for Serbian. This small gpt-2 model was fine-tuned on several corpora for Serb...
[ 0.010925599373877048, -0.02902439422905445, -0.013313671573996544, 0.05738682299852371, 0.05431770533323288, 0.03884710744023323, -0.0020919160451740026, 0.007235111203044653, -0.05807096138596535, 0.05246354267001152, 0.028927426785230637, -0.008263541385531425, 0.011467834934592247, 0.03...
Amalq/distilroberta-base-finetuned-MentalHealth
[]
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 tags: - text-to-image - stable-diffusion --- ### gitlatt Dreambooth model trained by wxcvbnw 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...
[ -0.03057493455708027, -0.00809680949896574, -0.028166595846414566, 0.028998956084251404, 0.026333658024668694, 0.01800159364938736, 0.0052985819056630135, 0.0079501336440444, -0.015086418017745018, 0.036284439265728, 0.037653397768735886, 0.005076982080936432, -0.020853519439697266, 0.0242...
Amalq/distilroberta-base-finetuned-anxiety-depression
[]
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 --- ### Rim_illustration on Stable Diffusion This is the `<rimbot>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipy...
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AndrewMcDowell/wav2vec2-xls-r-1B-german
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "de", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "hf-asr-leaderboard", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
8
null
--- license: unknown language: - en pipeline_tag: text-to-image tags: - Danbooru 2021 - Stable Diffusion --- funni title lmao
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AnonymousSub/SR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
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 ...
[ -0.03716377913951874, -0.0025858599692583084, -0.004736372269690037, 0.025588100776076317, 0.04536886885762215, -0.021751098334789276, -0.005420936271548271, -0.02844974771142006, -0.032852381467819214, 0.06663406640291214, 0.03273087367415428, -0.023938607424497604, 0.022651154547929764, ...
AnonymousSub/SciFive_pubmedqa_question_generation
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
7
2023-01-12T22:23:42Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Helicopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.043959975242614746, 0.013482877053320408, 0.013175847008824348, 0.016533544287085533, 0.05004247650504112, -0.011171980760991573, -0.021785397082567215, -0.020752770826220512, -0.015599003992974758, 0.06641993671655655, 0.04039498046040535, -0.00731674674898386, 0.011346527375280857, -0...
AnonymousSub/bert-base-uncased_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- tags: - generated_from_trainer model-index: - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer 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. --> # tiny-m...
[ -0.025309953838586807, -0.000151658765389584, -0.008934658952057362, 0.03136478364467621, 0.058306820690631866, 0.004427596461027861, -0.021520020440220833, -0.008786993101239204, -0.04530598968267441, 0.06283258646726608, 0.032449472695589066, -0.0175803080201149, 0.009485100395977497, 0....
AnonymousSub/bert-base-uncased_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- tags: - generated_from_trainer model-index: - name: tiny-mlm-glue-mnli-from-scratch-custom-tokenizer 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. --> # tiny-m...
[ -0.03568216413259506, -0.0028598238714039326, 0.000293820135993883, 0.032002270221710205, 0.04867471754550934, -0.0021459548734128475, -0.01973627880215645, -0.00970533024519682, -0.04209483414888382, 0.06157815456390381, 0.018977656960487366, -0.030760670080780983, 0.013979078270494938, 0...
AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- tags: - generated_from_trainer model-index: - name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer 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. --> # tiny-m...
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AnonymousSub/cline-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
31
null
--- tags: - generated_from_trainer model-index: - name: tiny-mlm-glue-qqp-from-scratch-custom-tokenizer 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. --> # tiny-ml...
[ -0.031036606058478355, -0.002805540570989251, 0.0008450543391518295, 0.030650340020656586, 0.04967685043811798, -0.0032554706558585167, -0.006863279268145561, -0.005408205091953278, -0.04699761047959328, 0.05439744517207146, 0.009134693071246147, -0.034166473895311356, 0.008715289644896984, ...
AnonymousSub/cline-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and com...
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AnonymousSub/cline
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
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AnonymousSub/cline_emanuals
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- tags: - generated_from_trainer model-index: - name: tiny-mlm-glue-rte-from-scratch-custom-tokenizer 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. --> # tiny-ml...
[ -0.03388557583093643, -0.0030323490500450134, 0.0020450809970498085, 0.029107753187417984, 0.05121035501360893, 0.007043268531560898, -0.018769774585962296, -0.007727685384452343, -0.04719363898038864, 0.06428933888673782, 0.015454448759555817, -0.03511526435613632, 0.009180820547044277, 0...
AnonymousSub/cline_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
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...
[ -0.04024199768900871, 0.015295084565877914, 0.014277980662882328, 0.017661914229393005, 0.049350544810295105, -0.013010230846703053, -0.019855575636029243, -0.023564208298921585, -0.017484026029706, 0.06776545196771622, 0.03548819199204445, -0.007954370230436325, 0.011290759779512882, -0.0...
AnonymousSub/declutr-emanuals-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
2023-01-12T23:57:29Z
--- tags: - generated_from_trainer model-index: - name: small-mlm-glue-cola-from-scratch-custom-tokenizer 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. --> # small...
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AnonymousSub/declutr-model-emanuals
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-qnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
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AnonymousSub/declutr-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-4 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-...
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AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-rte results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
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AnonymousSub/rule_based_bert_mean_diff_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-sst2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
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AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: mit --- Pretrained Latent Guidance predictor for Stable Diffusion as described in this Paper - https://sketch-guided-diffusion.github.io/. Used to Guide the output of Diffusion models (Stable Diffusion in this Case) to stick closely to the edges of sketches.
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AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-wnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.01927375979721546, 0.001029085018672049, -0.00930115021765232, 0.03328080102801323, 0.06551805138587952, 0.008063992485404015, -0.01421306375414133, -0.011261027306318283, -0.04271690919995308, 0.06955085694789886, 0.036989398300647736, -0.008346985094249249, 0.009424344636499882, 0.031...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-target-glue-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and com...
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AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-target-glue-mnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.029231831431388855, -0.0008691794355399907, -0.004157575778663158, 0.031569018959999084, 0.05910251662135124, 0.007898625917732716, -0.008474037051200867, -0.012439638376235962, -0.04250357672572136, 0.0699622631072998, 0.022546274587512016, -0.02082366868853569, 0.014726340770721436, 0...
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
3
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-5 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-...
[ -0.0406455360352993, 0.016277242451906204, 0.01592198759317398, 0.01651936210691929, 0.049363475292921066, -0.014178474433720112, -0.02041349560022354, -0.023290468379855156, -0.018673649057745934, 0.06787478923797607, 0.036671433597803116, -0.007189954165369272, 0.01007529441267252, -0.00...
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Please put the prompt: flat minimal illustration of... georgeart Dreambooth model trained by Alexwww with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth...
[ -0.02986779250204563, -0.006974386051297188, -0.02469792775809765, 0.03617208078503609, 0.04836702719330788, 0.0025270557962358, -0.004828270059078932, 0.003898591734468937, -0.017618559300899506, 0.03833002224564552, 0.035876210778951645, 0.005591162014752626, -0.021751703694462776, 0.017...
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
2023-01-13T02:16:04Z
--- tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-target-glue-mrpc results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete i...
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AnonymousSub/rule_based_only_classfn_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
4
null
--- tags: - generated_from_trainer model-index: - name: small-mlm-glue-qqp-from-scratch-custom-tokenizer 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. --> # small-...
[ -0.030473539605736732, -0.003108395030722022, -0.000561840133741498, 0.027507944032549858, 0.052078258246183395, -0.0006021521985530853, -0.004746415186673403, -0.004843289032578468, -0.04807785153388977, 0.05316662788391113, 0.012594903819262981, -0.034312084317207336, 0.007238432765007019,...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- tags: - generated_from_trainer model-index: - name: small-mlm-glue-rte-from-scratch-custom-tokenizer 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. --> # small-...
[ -0.03172500059008598, -0.0030361576937139034, 0.001265178550966084, 0.027024807408452034, 0.054200537502765656, 0.006787519436329603, -0.017878295853734016, -0.008213278837502003, -0.049597643315792084, 0.06353393197059631, 0.013406204991042614, -0.03596809133887291, 0.008083437569439411, ...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
null
--- license: mit tags: - generated_from_trainer metrics: - rouge model-index: - name: bart-large-cnn-samsum-ElectrifAi_v8.1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this com...
[ -0.0315394401550293, -0.0018148885574191809, -0.012575042434036732, 0.044414445757865906, 0.03374592587351799, 0.015484289266169071, -0.016441388055682182, -0.026478109881281853, -0.060650598257780075, 0.05537351593375206, 0.039484813809394836, -0.008016398176550865, 0.017908887937664986, ...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-target-glue-sst2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
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AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
--- tags: - Taxi-v3-4x4-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: Taxi-v3-4x4-no_slippery type: Taxi-v3-4x4-no_sli...
[ -0.020090458914637566, -0.015666384249925613, -0.009460252709686756, 0.026323191821575165, 0.049281347543001175, -0.007829896174371243, -0.008005045354366302, -0.005353411193937063, -0.04923795163631439, 0.05200005695223808, 0.005402792245149612, -0.01095498725771904, 0.019965656101703644, ...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
24
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: edgertej/poebert-balanced 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. --> # edgertej...
[ -0.027113962918519974, 0.010543497279286385, -0.0019209316233173013, 0.021556956693530083, 0.026592658832669258, -0.007912066765129566, 0.001437415019609034, -0.018638944253325462, -0.03970726951956749, 0.04290767014026642, -0.0012344325659796596, -0.03432443365454674, 0.02546822279691696, ...
AnonymousSub/rule_based_roberta_hier_triplet_0.1_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- tags: - generated_from_trainer model-index: - name: small-mlm-glue-sst2-from-scratch-custom-tokenizer 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. --> # small...
[ -0.03243483230471611, -0.005195211619138718, -0.007636543828994036, 0.029374834150075912, 0.05478302761912346, 0.012588848359882832, -0.017681999132037163, -0.00299567892216146, -0.0529843308031559, 0.0654645562171936, 0.018912754952907562, -0.026620706543326378, 0.009791545569896698, 0.02...
AnonymousSub/rule_based_roberta_hier_triplet_0.1_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.54 +/- 2.71...
[ -0.020659690722823143, -0.014640514738857746, -0.005269296932965517, 0.021620452404022217, 0.04660288244485855, 0.0024990406818687916, -0.01698811911046505, 0.0021281621884554625, -0.034666966646909714, 0.051217883825302124, 0.01877412013709545, -0.007834373973309994, 0.012662786059081554, ...
AnonymousSub/rule_based_roberta_hier_triplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- tags: - generated_from_trainer metrics: - spearmanr model-index: - name: tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-target-glue-stsb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, t...
[ -0.033641647547483444, 0.0008400182123295963, -0.015799900516867638, 0.03903229907155037, 0.05850842222571373, 0.0036966113839298487, -0.014745944179594517, -0.014444180764257908, -0.04898342490196228, 0.06727684289216995, 0.01656818389892578, -0.020987091585993767, 0.005503546912223101, 0...
AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and com...
[ -0.029248718172311783, 0.005573449190706015, 0.0014534940710291266, 0.03433249518275261, 0.05831843987107277, 0.013914414681494236, -0.01795629784464836, -0.010389508679509163, -0.044800397008657455, 0.06848516315221786, 0.03876082971692085, -0.013390233740210533, 0.012842291034758091, 0.0...
AnonymousSub/rule_based_roberta_only_classfn_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
27
2023-01-13T04:09:08Z
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-mnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.029581816866993904, 0.0027487564366310835, -0.0025278101675212383, 0.03338971361517906, 0.06036011874675751, 0.008122483268380165, -0.005820481106638908, -0.010602720081806183, -0.041989486664533615, 0.07163484394550323, 0.02578364871442318, -0.02241084724664688, 0.010105310007929802, 0...
AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- datasets: - fka/awesome-chatgpt-prompts metrics: - accuracy library_name: allennlp pipeline_tag: image-classification tags: - biomedical - legal ---
[ -0.015324829146265984, -0.01668906770646572, 0.02146836370229721, 0.0036590569652616978, 0.046897388994693756, -0.005313078872859478, -0.011382500641047955, 0.006768614519387484, -0.01669103279709816, 0.04453255981206894, 0.04199039563536644, 0.013092691078782082, 0.011070492677390575, 0.0...
AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- tags: - generated_from_trainer metrics: - wer model-index: - name: libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-att-take-4 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it...
[ -0.014629396609961987, -0.013729550875723362, -0.008413540199398994, 0.031133951619267464, 0.03321811556816101, 0.02168036624789238, -0.018346142023801804, -0.022090105339884758, -0.05983778089284897, 0.06933661550283432, 0.03245416656136513, -0.03191254660487175, 0.007781869266182184, 0.0...
AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
24
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-qnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.0253314021974802, 0.002138358075171709, -0.000609234964940697, 0.03418029844760895, 0.06127582862973213, 0.0038136711809784174, -0.002627321984618902, -0.011028281413018703, -0.04289861395955086, 0.06778285652399063, 0.020568987354636192, -0.02276674099266529, 0.00997199397534132, 0.026...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03044235147535801, -0.0024995433632284403, -0.004954890348017216, 0.0445273332297802, 0.05198848992586136, -0.022459812462329865, -0.0035267802886664867, -0.028159935027360916, -0.03393981605768204, 0.056186527013778687, 0.02473820000886917, -0.03569237142801285, 0.015178777277469635, 0...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: en datasets: - lmqg/qg_squad pipeline_tag: text2text-generation tags: - question generation - answer extraction widget: - text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singe...
[ -0.0050840615294873714, -0.00967760756611824, -0.006299115717411041, 0.0231199748814106, 0.041256438940763474, 0.01905241422355175, -0.03386026620864868, 0.011480305343866348, -0.048044752329587936, 0.02373986691236496, 0.03744904696941376, 0.0013451833510771394, 0.009750031866133213, 0.02...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
25
null
--- tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-qqp results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it...
[ -0.02494344301521778, 0.0014943204587325454, -0.0014387734699994326, 0.03385863080620766, 0.059884004294872284, 0.004010859876871109, -0.00034311157651245594, -0.00896561611443758, -0.04299226030707359, 0.06376922875642776, 0.021277902647852898, -0.022827034816145897, 0.010853545740246773, ...
AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: other --- For le thesis, URL Classification using BERT. Referenced from URLTran research
[ -0.0025584895629435778, 0.0013041102793067694, -0.029230304062366486, 0.03749585524201393, 0.006166011560708284, 0.02807674929499626, -0.01364617794752121, -0.009046505205333233, -0.024647027254104614, 0.015214916318655014, 0.0249025821685791, 0.012629075907170773, 0.00352433486841619, 0.0...
AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-sst2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.024698877707123756, 0.0002917000965680927, -0.0036684267688542604, 0.0330948568880558, 0.06308932602405548, 0.00922162551432848, -0.00542876124382019, -0.008823317475616932, -0.043191295117139816, 0.0726589560508728, 0.023655017837882042, -0.020068302750587463, 0.010058815591037273, 0.0...
AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04151706025004387, -0.0013085269602015615, -0.0079855527728796, 0.048925139009952545, 0.028265701606869698, 0.022224746644496918, -0.025212829932570457, -0.037024904042482376, -0.005312930792570114, 0.04932168498635292, 0.01933250017464161, -0.00846262089908123, 0.020315852016210556, 0....
AnonymousSub/rule_based_twostage_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-wnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.030393633991479874, -0.00004118445940548554, -0.0023135615047067404, 0.03405681997537613, 0.060562800616025925, 0.009744775481522083, -0.004545208532363176, -0.008753621950745583, -0.03946223482489586, 0.073214590549469, 0.029050998389720917, -0.021374350413680077, 0.006263040471822023, ...
AnonymousSub/unsup-consert-papers-bert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
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 ...
[ -0.037104375660419464, -0.0027371335308998823, -0.005062207579612732, 0.0257782731205225, 0.04577312245965004, -0.021151943132281303, -0.005372445099055767, -0.028632240369915962, -0.03323528915643692, 0.06669493764638901, 0.03293001651763916, -0.023658407852053642, 0.022937433794140816, 0...
AnthonyNelson/DialoGPT-small-ricksanchez
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
2023-01-13T06:42:38Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - minds14 metrics: - wer model-index: - name: my_asr_model_3 results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: minds14 type: minds14 config: en-US split: train...
[ -0.03701455518603325, -0.00730043975636363, -0.029271289706230164, 0.046466149389743805, 0.038011208176612854, 0.04317126423120499, -0.022199274972081184, -0.0051094586960971355, -0.02655837871134281, 0.06290493905544281, 0.027342339977622032, -0.023548074066638947, 0.0011176695115864277, ...
Anthos23/my-awesome-model
[ "pytorch", "tf", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
30
2023-01-13T06:46:18Z
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-medium_sst2_negation0.2_pretrainedFalse results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.023170221596956253, -0.00748263206332922, -0.00910197477787733, 0.03663712739944458, 0.034912653267383575, 0.023843497037887573, -0.019137322902679443, 0.005263546947389841, -0.04343016445636749, 0.04170976206660271, 0.02036120556294918, -0.01781519316136837, 0.023092905059456825, 0.048...
Anthos23/test_trainer
[]
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 datasets: - sst2 model-index: - name: finetuned_gpt2_sst2_negation0.2_pretrainedFalse 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 remov...
[ -0.02364514209330082, -0.011026299558579922, -0.009315788745880127, 0.03742432966828346, 0.031415604054927826, 0.02308092825114727, -0.023389440029859543, 0.003317039692774415, -0.04261431470513344, 0.04182502627372742, 0.02300478331744671, -0.017370788380503654, 0.023656385019421577, 0.04...
Antony/mint_model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - simplification - generated_from_trainer metrics: - rouge model-index: - name: marimari-r2r-mlsum-clara-med 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....
[ -0.014118069782853127, -0.021500876173377037, -0.008156330324709415, 0.03909164294600487, 0.04365110024809837, -0.000047479574277531356, -0.03754590079188347, -0.01755794696509838, -0.03611712530255318, 0.05132832005620003, 0.02779332920908928, -0.04499201104044914, 0.016502676531672478, 0...
gaurishhs/API
[]
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
2023-01-13T07:19:03Z
--- tags: - KungFuMaster-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: KungFuMaster-v5 type: KungFuMaster-v5 me...
[ -0.009983562864363194, -0.014793358743190765, -0.011911861598491669, 0.026813536882400513, 0.04471595212817192, 0.004894473124295473, -0.015841348096728325, -0.021656127646565437, -0.007091226987540722, 0.061979830265045166, 0.016926264390349388, -0.004985292442142963, 0.007012937683612108, ...
Apisate/Discord-Ai-Bot
[ "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...
11
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03254061937332153, -0.002245148178189993, -0.019848141819238663, 0.050934579223394394, 0.03958917036652565, 0.025696394965052605, -0.002159015042707324, -0.03590213879942894, -0.027981970459222794, 0.04795828461647034, 0.02317594550549984, -0.0049485801719129086, 0.019552426412701607, 0...
ArBert/albert-base-v2-finetuned-ner-gmm-twitter
[ "pytorch", "tensorboard", "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...
8
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Worm library_name: ml-agents --- # **ppo** Agent playing **Worm** This is a trained model of a **ppo** agent playing **Worm** using the [Unity ML-Agents Library]...
[ -0.0436687171459198, -0.0025522024370729923, -0.014448271133005619, 0.04525851458311081, 0.030794719234108925, 0.024408753961324692, -0.015432708896696568, -0.03238191828131676, -0.0012443301966413856, 0.060193706303834915, 0.03111627697944641, -0.015993285924196243, -0.006328053772449493, ...
ArBert/albert-base-v2-finetuned-ner-kmeans-twitter
[ "pytorch", "tensorboard", "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...
10
null
--- language: - en tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - art - artistic - diffusers inference: true license: creativeml-openrail-m --- ## Pending info card I will be updating soon ## Model Weights ![alt text](https://huggingface.co/darkstorm2150/Protogen_Infinity_Official_Release/re...
[ -0.03127225115895271, -0.031134283170104027, -0.01456895750015974, 0.028456829488277435, 0.03562786057591438, 0.01111160684376955, 0.007658446207642555, -0.01573316566646099, -0.0029215547256171703, 0.057784564793109894, 0.02808612771332264, 0.001051301253028214, 0.00545030040666461, 0.046...
ArBert/albert-base-v2-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "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...
8
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 ...
[ -0.03763110190629959, -0.0024958227295428514, -0.005331027787178755, 0.025532562285661697, 0.04539076238870621, -0.02135157771408558, -0.004958168137818575, -0.02789151296019554, -0.03352274000644684, 0.06646405160427094, 0.03266901895403862, -0.02368653379380703, 0.022783394902944565, 0.0...
ArBert/albert-base-v2-finetuned-ner
[ "pytorch", "tensorboard", "albert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "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...
19
null
--- language: - en tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - art - artistic - diffusers - protogen inference: true widget: - text: >- modelshoot style, (extremely detailed CG unity 8k wallpaper), full shot body photo of the most beautiful artwork in the world, english medieval witc...
[ -0.003631406696513295, -0.045969076454639435, -0.009946187026798725, 0.03921224921941757, 0.06352665275335312, 0.008815932087600231, 0.00027845436125062406, -0.02384009398519993, 0.002431432716548443, 0.0555095300078392, 0.038090672343969345, -0.011091554537415504, -0.017018334940075874, 0...
ArBert/bert-base-uncased-finetuned-ner-kmeans
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "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...
6
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: sks --- ### Curious Builders Style Dreambooth model trained by [Builder A](https://twitter.com/_builder_a) with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You...
[ -0.03140430524945259, -0.023577401414513588, -0.026186944916844368, 0.0411662757396698, 0.030690262094140053, 0.02352970279753208, -0.028163384646177292, -0.01315827202051878, -0.021229779347777367, 0.04716216027736664, 0.02229359559714794, 0.008682464249432087, -0.025369815528392792, 0.04...
ArBert/roberta-base-finetuned-ner-agglo-twitter
[ "pytorch", "tensorboard", "roberta", "token-classification", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
12
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - animal widget: - text: a dashdash cat fight with alian in Loch Ness --- # DreamBooth model for the dashdash concept trained by jiaenyue. This is a Stable Diffusion model ...
[ -0.03392260521650314, -0.018568316474556923, -0.006282826419919729, 0.026511553674936295, 0.031563133001327515, 0.009361343458294868, -0.006879651453346014, -0.009491522796452045, -0.018838509917259216, 0.04142426326870918, 0.023668525740504265, 0.0020178903359919786, -0.008128706365823746, ...
ArBert/roberta-base-finetuned-ner
[ "pytorch", "tensorboard", "roberta", "token-classification", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
3
null
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-medium_sst2_negation0.5_pretrainedFalse results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.022548679262399673, -0.005842235870659351, -0.00733350170776248, 0.03519144654273987, 0.03416856750845909, 0.02222861535847187, -0.018290476873517036, 0.005638101603835821, -0.04618949443101883, 0.04123968258500099, 0.02225584164261818, -0.01697082258760929, 0.024734627455472946, 0.0497...
ArJakusz/DialoGPT-small-starky
[]
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 datasets: - sst2 model-index: - name: finetuned_gpt2_sst2_negation0.001_pretrainedTrue results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remo...
[ -0.02227962389588356, -0.01123497448861599, -0.009606415405869484, 0.03844689577817917, 0.028991352766752243, 0.02209446206688881, -0.022171473130583763, 0.0008056122460402548, -0.042165279388427734, 0.04262698441743851, 0.02499181032180786, -0.017881907522678375, 0.024891119450330734, 0.0...
Araby/Arabic-TTS
[]
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 datasets: - sst2 model-index: - name: finetuned_gpt2_sst2_negation0.0001_pretrainedTrue 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 rem...
[ -0.021170880645513535, -0.01093298103660345, -0.010200769640505314, 0.03797462582588196, 0.029765332117676735, 0.022826528176665306, -0.022996144369244576, 0.00015945074846968055, -0.043493371456861496, 0.04173358157277107, 0.02530554123222828, -0.018431108444929123, 0.024342237040400505, ...
Aracatto/Catto
[]
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: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-cartpole-test results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - typ...
[ -0.03176937997341156, 0.015509895980358124, 0.0022802911698818207, 0.006793954875320196, 0.046323228627443314, -0.01777476817369461, -0.02105206996202469, -0.017467232421040535, -0.03546575456857681, 0.0848129540681839, 0.020056473091244698, -0.009809253737330437, 0.0190888661891222, 0.018...
AragornII/DialoGPT-small-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: small-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and co...
[ -0.023073939606547356, 0.003353331470862031, -0.0033789610024541616, 0.029972359538078308, 0.061620283871889114, 0.014596322551369667, -0.022320177406072617, -0.009919031523168087, -0.04423939064145088, 0.0655289813876152, 0.04040352255105972, -0.004474949557334185, 0.01061417255550623, 0....
ArashEsk95/bert-base-uncased-finetuned-sst2
[]
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 ...
[ -0.03730342537164688, -0.0029225393664091825, -0.004688100423663855, 0.02558485046029091, 0.04547515884041786, -0.020947957411408424, -0.005767092574387789, -0.027705758810043335, -0.033005863428115845, 0.06668496876955032, 0.03194539621472359, -0.02357395738363266, 0.02329813316464424, 0....
ArashEsk95/bert-base-uncased-finetuned-stsb
[]
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: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-qqp-from-scratch-custom-tokenizer-target-glue-mnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.02473553642630577, -0.00044736897689290345, -0.0026538590900599957, 0.032069131731987, 0.05674101039767265, -0.0004957862547598779, 0.00024523166939616203, -0.008365395478904247, -0.04460996389389038, 0.059314046055078506, 0.01459409762173891, -0.022235330194234848, 0.013535410165786743, ...
AriakimTaiyo/DialoGPT-cultured-Kumiko
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-glue-qqp-from-scratch-custom-tokenizer-target-glue-mrpc results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it...
[ -0.02275112271308899, -0.0003560593177098781, -0.0018209542613476515, 0.03374985605478287, 0.05857269465923309, 0.0016194345662370324, -0.00003784833461395465, -0.00802147388458252, -0.04339862987399101, 0.06076858565211296, 0.01608472689986229, -0.02342238835990429, 0.012384767644107342, ...
Aron/distilbert-base-uncased-finetuned-emotion
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:emotion", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
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, ...
36
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy - f1 model-index: - name: platzi-distilroberta-base-mrpc-elyager results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: mrpc split:...
[ -0.02508542314171791, 0.0033925767056643963, -0.008290947414934635, 0.027290094643831253, 0.07125350832939148, 0.024822955951094627, 0.03041176125407219, -0.0199490524828434, -0.05125051364302635, 0.05695273354649544, 0.01642051339149475, -0.03140716254711151, -0.005904956720769405, 0.0193...
Ayham/xlnet_gpt2_summarization_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:xsum", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
13
null
--- library_name: stable-baselines3 tags: - Pixelcopter-PLE-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: ppo results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopte...
[ -0.04801873490214348, -0.00832209549844265, -0.001667227130383253, 0.030656147748231888, 0.03935465216636658, -0.002663064980879426, -0.01115448959171772, -0.019702496007084846, -0.03142165765166283, 0.06557416915893555, 0.024930698797106743, -0.013606477528810501, 0.017449794337153435, -0...
BSC-LT/RoBERTalex
[ "pytorch", "roberta", "fill-mask", "es", "dataset:legal_ES", "dataset:temu_legal", "arxiv:2110.12201", "transformers", "legal", "spanish", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
24
null
--- language: en license: mit tags: - vision - image-segmentation model_name: openmmlab/upernet-swin-large --- # UperNet, Swin Transformer large-sized backbone UperNet framework for semantic segmentation, leveraging a Swin Transformer backbone. UperNet was introduced in the paper [Unified Perceptual Parsing for Scene...
[ -0.052182335406541824, 0.0011583976447582245, -0.009088871069252491, 0.0443544015288353, 0.015501226298511028, 0.009717775508761406, -0.03583432361483574, -0.01276885811239481, -0.010534842498600483, 0.06737450510263443, 0.029692187905311584, 0.0011744144139811397, -0.0022546809632331133, ...
BSC-LT/roberta-base-bne-sqac
[ "pytorch", "roberta", "question-answering", "es", "dataset:BSC-TeMU/SQAC", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "qa", "question answering", "license:apache-2.0", "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...
10
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-sst2-from-scratch-custom-tokenizer-target-glue-rte results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.021716276183724403, -0.0038318224251270294, -0.00711061479523778, 0.03181861340999603, 0.06274759769439697, 0.010218373499810696, -0.00919240154325962, -0.005541067570447922, -0.04854882135987282, 0.07134032249450684, 0.01688913255929947, -0.014978626742959023, 0.012910052202641964, 0.0...
BSC-LT/roberta-base-bne
[ "pytorch", "roberta", "fill-mask", "es", "dataset:bne", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
594
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...
[ -0.0397496223449707, 0.015724964439868927, 0.013904175721108913, 0.01756814867258072, 0.04882844537496567, -0.01406900305300951, -0.019887536764144897, -0.023918762803077698, -0.017792340368032455, 0.06761626899242401, 0.035742875188589096, -0.00823370460420847, 0.011019444093108177, -0.00...
BSC-LT/roberta-large-bne-sqac
[ "pytorch", "roberta", "question-answering", "es", "dataset:BSC-TeMU/SQAC", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "qa", "question answering", "license:apache-2.0", "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...
15
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: huggan/smithsonian_butterflies_subset metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this com...
[ -0.031000256538391113, -0.010503487661480904, -0.005682866554707289, 0.03521506115794182, 0.018319644033908844, 0.011882211081683636, 0.010840943083167076, -0.006151859182864428, -0.007620112970471382, 0.05487445369362831, 0.009685796685516834, -0.02170703560113907, 0.007265480700880289, 0...
BSen/wav2vec2-base-timit-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
4
null
--- license: mit tags: - simplification - generated_from_trainer metrics: - rouge model-index: - name: mbart-large-50-clara-med results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this...
[ -0.02180546335875988, -0.0022963504306972027, -0.008537952788174152, 0.04405435919761658, 0.03131786733865738, 0.0016385505441576242, -0.04429420083761215, -0.02648935653269291, -0.03228919580578804, 0.0536532998085022, 0.018529357388615608, -0.03615407273173332, 0.024879969656467438, 0.04...
Babysittingyoda/DialoGPT-small-familyguy
[ "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
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.052961207926273346, 0.0054046036675572395, -0.006493710447102785, 0.057700417935848236, 0.02734808251261711, 0.026118947193026543, -0.005658913869410753, -0.03133575618267059, -0.005190274678170681, 0.04917672276496887, 0.017885565757751465, -0.011426652781665325, 0.006683359853923321, ...
Backedman/DialoGPT-small-Anika
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: t5_finetuned_genboolq 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. -->...
[ -0.0037440620362758636, -0.008283697068691254, 0.003910535480827093, 0.03124368004500866, 0.033893343061208725, 0.0018419412663206458, -0.029482556506991386, -0.012152241542935371, -0.032794494181871414, 0.03778211027383804, 0.021441111341118813, -0.0295571181923151, -0.0021446715109050274, ...
Badr/model1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.042146120220422745, -0.0007889269036240876, -0.008313924074172974, 0.04980804771184921, 0.028841672465205193, 0.022427843883633614, -0.02516760118305683, -0.037307728081941605, -0.0064330026507377625, 0.048838574439287186, 0.018948262557387352, -0.007532614283263683, 0.019414978101849556,...
Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition
[ "pytorch", "tensorboard", "wav2vec2", "el", "dataset:aesdd", "transformers", "audio", "audio-classification", "speech", "license:apache-2.0" ]
audio-classification
{ "architectures": [ "Wav2Vec2ForSpeechClassification" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
21
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - wildcard widget: - text: The building skin of the office building, the glass curtain wall --- # DreamBooth model for the hzarchshkin concept trained by zeizeiwai. This is...
[ -0.03924274072051048, -0.030844734981656075, -0.011849007569253445, 0.02637651190161705, 0.0098207863047719, 0.015187349170446396, -0.01150419469922781, 0.008757655508816242, -0.0022243575658649206, 0.05869310721755028, 0.032525818794965744, 0.023544689640402794, -0.01903803087770939, 0.03...
Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition
[ "pytorch", "wav2vec2", "audio-classification", "ja", "dataset:jtes", "transformers", "audio", "speech", "speech-emotion-recognition", "has_space" ]
audio-classification
{ "architectures": [ "HubertForSequenceClassification" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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Bakkes/BakkesModWiki
[]
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: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-distilled-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos config: plus ...
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Bala/model_name
[]
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 tags: - pytorch - diffusers - stable-diffusion - text-to-image - dreambooth-hackathon - landscape widget: - text: A photo of ggenshin landscape --- # Dreambooth Model for Landscapes trained on images from Genshin Impact. This is a Stable Diffusion model fine-tuned on the landscape co...
[ -0.013329197652637959, -0.027371546253561974, -0.030270397663116455, 0.03434988111257553, 0.04851536452770233, 0.0025264546275138855, 0.01762678287923336, -0.002673445036634803, -0.027618877589702606, 0.07370031625032425, 0.023378117009997368, 0.003925587981939316, -0.02400995045900345, 0....
Barleysack/klue-roberta-LSTM
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "QAWithLSTMModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
6
2023-01-13T16:23:40Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-vanilla-target-glue-mnli-linear-probe 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...
[ -0.043734993785619736, 0.005784075241535902, -0.001329502323642373, 0.03846760466694832, 0.04827379062771797, 0.00556637579575181, -0.002178500173613429, -0.0219773780554533, -0.03611699491739273, 0.0497373603284359, 0.012860866263508797, -0.024413365870714188, 0.028376810252666473, 0.0318...
Battlehooks/distilbert-base-uncased-finetuned-squad
[]
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: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.01868637651205063, -0.015582346357405186, -0.00899999774992466, 0.025750963017344475, 0.046498797833919525, -0.0015627631219103932, -0.018719814717769623, 0.004733742214739323, -0.0357259139418602, 0.0517503023147583, 0.016836000606417656, -0.006422707810997963, 0.011661500670015812, 0....
BatuhanYilmaz/bert-finetuned-mrpc
[]
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: - audio - automatic-speech-recognition - endpoints-template library_name: generic inference: false --- # OpenAI [Whisper](https://github.com/openai/whisper) Inference Endpoint example > Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and ...
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BatuhanYilmaz/marian-finetuned-kde4-en-to-fr
[]
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: bert-base-uncases-forprof2 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 comm...
[ -0.02431511878967285, 0.0016279487172141671, -0.02326538972556591, 0.04496242478489876, 0.03503802791237831, 0.01710272952914238, -0.01028476469218731, -0.021403731778264046, -0.056321881711483, 0.05691425874829292, 0.011665087193250656, -0.029649803414940834, 0.012503108009696007, 0.04663...
Baybars/wav2vec2-xls-r-300m-cv8-turkish
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "tr", "dataset:common_voice", "transformers", "common_voice", "generated_from_trainer", "hf-asr-leaderboard", "robust-speech-event", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
null
--- language: - zh thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png tags: - pytorch - token-classification - bert - zh license: gpl-3.0 --- # CKIP BERT Base Han Chinese WS This model provides word segmentation for the ancient Chinese language. Our training dataset covers four eras of the Chines...
[ -0.040548425167798996, -0.023459935560822487, -0.013748596422374249, 0.04195236414670944, 0.03273598849773407, 0.010226981714367867, -0.0077247051522135735, 0.002111943671479821, -0.031146124005317688, 0.054029617458581924, 0.0031344518065452576, -0.003438996383920312, -0.004022802226245403,...
Bee-Garbs/DialoGPT-real-cartman-small
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- license: mit duplicated_from: sd-concepts-library/ambrose-arm-chair --- ### ambrose-arm-chair on Stable Diffusion This is the `<ambrose-arm-chair>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingfac...
[ -0.0212665107101202, -0.005951755680143833, -0.020647652447223663, 0.043611060827970505, 0.004881960339844227, 0.013849443756043911, 0.00011893365444848314, -0.008983711712062359, -0.03258175775408745, 0.04456885904073715, 0.005336897447705269, -0.013953923247754574, 0.025530308485031128, ...
Beelow/wav2vec2-ukrainian-model-large
[]
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: - zh thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png tags: - pytorch - token-classification - bert - zh license: gpl-3.0 --- # CKIP BERT Base Han Chinese POS This model provides part-of-speech (POS) tagging for the ancient Chinese language. Our training dataset covers four eras o...
[ -0.024405963718891144, -0.025650929659605026, -0.010030270554125309, 0.03723537176847458, 0.030944405123591423, 0.020793138071894646, -0.0014949472388252616, 0.0024513450916856527, -0.027364294975996017, 0.05303358659148216, -0.003172255354002118, -0.018860751762986183, 0.01855798438191414, ...
Belin/T5-Terms-and-Conditions
[]
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: - zh thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png tags: - pytorch - token-classification - bert - zh license: gpl-3.0 --- # CKIP BERT Base Han Chinese POS This model provides part-of-speech (POS) tagging for the ancient Chinese language. Our training dataset covers four eras o...
[ -0.024405963718891144, -0.025650929659605026, -0.010030270554125309, 0.03723537176847458, 0.030944405123591423, 0.020793138071894646, -0.0014949472388252616, 0.0024513450916856527, -0.027364294975996017, 0.05303358659148216, -0.003172255354002118, -0.018860751762986183, 0.01855798438191414, ...
BenDavis71/GPT-2-Finetuning-AIRaid
[ "pytorch", "jax", "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...
10
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...
[ -0.03971555083990097, 0.01604979671537876, 0.014370094984769821, 0.0175047367811203, 0.049091752618551254, -0.013629216700792313, -0.019494619220495224, -0.02389928326010704, -0.017357761040329933, 0.06777992844581604, 0.035874128341674805, -0.007755715865641832, 0.010944109410047531, -0.0...
BenGeorge/MyModel
[]
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 - f1 model-index: - name: small-vanilla-target-glue-mrpc-linear-probe results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it,...
[ -0.03724047169089317, 0.007633889559656382, -0.0041519710794091225, 0.03393271565437317, 0.05737878382205963, 0.008149690926074982, 0.0029642784502357244, -0.01644672267138958, -0.03248857334256172, 0.055769942700862885, 0.015852080658078194, -0.02154478058218956, 0.021034711971879005, 0.0...
BhanuSama/gpt2-finetuned-xsum
[]
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: - audio - automatic-speech-recognition - endpoints-template library_name: generic inference: false --- # OpenAI [Whisper](https://github.com/openai/whisper) Inference Endpoint example > Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and ...
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Bharathdamu/wav2vec2-model-hindi-stt
[]
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 ...
[ -0.03718416020274162, -0.00297541543841362, -0.005361779127269983, 0.026150360703468323, 0.04595653712749481, -0.02117863856256008, -0.005560432095080614, -0.028490858152508736, -0.0330498032271862, 0.06630216538906097, 0.03305548056960106, -0.023475296795368195, 0.02307157590985298, 0.001...
Bhumika/roberta-base-finetuned-sst2
[ "pytorch", "tensorboard", "roberta", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "model-index" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
85
null
--- license: creativeml-openrail-m library_name: diffusers pipeline_tag: text-to-image thumbnail: "https://huggingface.co/BudFactory/classicnegative/blob/main/raccoon.png" language: - en --- I'll preface this by saying that I have no idea what I'm doing. Also, this is by no means a complete or perfect model. But after ...
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