modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
card
stringlengths
51
438k
embedding
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Davlan/bert-base-multilingual-cased-finetuned-luganda
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
2023-01-14T21:11:22Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.01851390115916729, -0.01896010711789131, -0.009207742288708687, 0.03229900449514389, 0.05094292759895325, -0.016720065847039223, -0.01154056191444397, -0.00869735050946474, -0.05713903158903122, 0.0545128732919693, -0.0024340678937733173, -0.00848445761948824, 0.025049244984984398, 0.03...
Davlan/distilbert-base-multilingual-cased-masakhaner
[ "pytorch", "tf", "distilbert", "token-classification", "arxiv:2103.11811", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
16
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-cartpole1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: m...
[ -0.03166333958506584, 0.018535669893026352, 0.0029603021685034037, 0.00790269486606121, 0.04606683924794197, -0.019314968958497047, -0.023803919553756714, -0.01713281311094761, -0.0321178063750267, 0.08527366816997528, 0.019809192046523094, -0.009414631873369217, 0.01708866097033024, 0.017...
Davlan/xlm-roberta-base-finetuned-kinyarwanda
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
61
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...
[ -0.041589073836803436, -0.0016925277886912227, -0.008315378800034523, 0.049820590764284134, 0.028991077095270157, 0.02208922803401947, -0.024438781663775444, -0.037530310451984406, -0.004869614727795124, 0.04865079000592232, 0.01826503872871399, -0.010377165861427784, 0.019972652196884155, ...
Dayout/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-3000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text ...
[ -0.015587395057082176, -0.009710009209811687, -0.02983483485877514, 0.046556130051612854, 0.03683188185095787, 0.038109589368104935, -0.021049482747912407, -0.021078458055853844, -0.03681168332695961, 0.06529741734266281, 0.045847050845623016, -0.018382376059889793, 0.01857100985944271, 0....
Dazai/Ok
[]
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: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.0_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...
[ -0.0177838783711195, -0.010574450716376305, -0.009707125835120678, 0.03211885318160057, 0.03730201721191406, 0.023131651803851128, -0.02762637846171856, -0.0007088449783623219, -0.04446270689368248, 0.04225679114460945, 0.030454695224761963, -0.01410217396914959, 0.016432810574769974, 0.04...
Dbluciferm3737/U
[]
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: - wer model-index: - name: whisper-medium-ft-cy 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. --> #...
[ -0.040072184056043625, -0.005483455024659634, -0.0012682530796155334, 0.03768889605998993, 0.038432035595178604, 0.02356383204460144, 0.0018138634040951729, 0.009502358734607697, -0.027590572834014893, 0.06318395584821701, 0.03446673974394798, -0.027029694989323616, 0.010998265817761421, 0...
DeadBeast/marathi-roberta-base
[]
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: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.0_pretrainedTrue_epochs0 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and com...
[ -0.020337039604783058, -0.008857960812747478, -0.015332374721765518, 0.0274898000061512, 0.03514614328742027, 0.027540108188986778, -0.019996508955955505, -0.0002832299505826086, -0.04617277905344963, 0.04461201652884483, 0.03161664307117462, -0.012257653288543224, 0.013906260021030903, 0....
DeadBeast/roberta-base-pretrained-mr-2
[ "pytorch", "jax", "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...
5
null
Simple 50/50 merge of https://civitai.com/models/1274/dreamlike-diffusion-10 and https://civitai.com/models/1102/synthwavepunk
[ -0.05131140351295471, -0.012940862216055393, 0.008732517249882221, 0.029039299115538597, 0.013055175542831421, 0.006682794541120529, -0.003265154082328081, 0.02000572346150875, -0.003720479318872094, 0.039372894912958145, 0.07486575841903687, 0.010360782966017723, -0.0313328318297863, 0.04...
DecafNosebleed/DialoGPT-small-ScaraBot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
15
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.0_pretrainedFalse_epochs0 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and co...
[ -0.021842122077941895, -0.010971518233418465, -0.01603076048195362, 0.029531437903642654, 0.03684307262301445, 0.02688857913017273, -0.020329268649220467, -0.001108443597331643, -0.04451298713684082, 0.045953452587127686, 0.03288201615214348, -0.011211302131414413, 0.013956155627965927, 0....
DecafNosebleed/scarabot-model
[ "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- 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 ...
[ -0.037714581936597824, -0.002603305736556649, -0.005010627675801516, 0.025632884353399277, 0.045599114149808884, -0.021460551768541336, -0.00554102286696434, -0.027787968516349792, -0.0334322527050972, 0.06670016050338745, 0.03206169605255127, -0.02355455607175827, 0.023196028545498848, 0....
Declan/Breitbart_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - conversational --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> # Model Details ## Model Description <!-- Provide a longer summary of what this model is. --> - **Developed by:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] ...
[ -0.02327120117843151, -0.007637588307261467, -0.00916734803467989, 0.029235104098916054, 0.04269974306225777, 0.03328605368733406, -0.009369258768856525, 0.0009117060108110309, -0.024442223832011223, 0.05734982714056969, 0.04645225778222084, -0.012704017572104931, 0.02461116388440132, 0.04...
Declan/Breitbart_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: grade2jazz 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. --> # grade2jazz This model i...
[ -0.03800990805029869, -0.013024094514548779, -0.017499202862381935, 0.03710367903113365, 0.03676769882440567, 0.014347820542752743, -0.014580011367797852, 0.00636077718809247, -0.04717011749744415, 0.06469156593084335, 0.011776887811720371, -0.028881752863526344, 0.004404699895530939, 0.04...
Declan/Breitbart_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- 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 ...
[ -0.03712201118469238, -0.00279629067517817, -0.004883884452283382, 0.02541990950703621, 0.0455799475312233, -0.021727032959461212, -0.0048840283416211605, -0.028142493218183517, -0.033603325486183167, 0.06670546531677246, 0.03305524215102196, -0.023416290059685707, 0.022470248863101006, 0....
Declan/Breitbart_modelv7
[]
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-mlm-glue-stsb-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, then r...
[ -0.030393367633223534, 0.0031227930448949337, -0.010578086599707603, 0.0374440960586071, 0.06490491330623627, 0.017972072586417198, -0.00318909902125597, -0.00005191395030124113, -0.037224214524030685, 0.06078295409679413, 0.012308605015277863, -0.028457127511501312, 0.02366846799850464, 0...
Declan/CNN_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-01-15T00:51:32Z
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: korean_sentiment_analysis_dataset3_best 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. --...
[ -0.02287602424621582, -0.010403665713965893, -0.020138362422585487, 0.043474338948726654, 0.040754448622465134, 0.014783504419028759, -0.008909082040190697, -0.012228040024638176, -0.04207494109869003, 0.06833365559577942, 0.023742221295833588, -0.030353626236319542, 0.0024784374982118607, ...
Declan/CNN_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - animal widget: - text: an ött3r otter flying over a city at night, neon lights, highly detailed, digital painting, artstation, concept art, sharp focus, illustration, a...
[ -0.03241955116391182, -0.025682687759399414, -0.01904551312327385, 0.02794099599123001, 0.0386272594332695, 0.022345559671521187, -0.004401492420583963, -0.010020220652222633, -0.011622428894042969, 0.051277752965688705, 0.03198380023241043, -0.0054990672506392, -0.016019076108932495, 0.03...
Declan/CNN_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### miki-style Dreambooth model trained by steyn 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 [fas...
[ -0.03643697127699852, -0.013154389336705208, -0.017064033076167107, 0.02897944487631321, 0.03454174846410751, 0.012452607043087482, 0.0022936805617064238, 0.015209323726594448, -0.014645036309957504, 0.051602356135845184, 0.04073863476514816, 0.004284224472939968, -0.01461381558328867, 0.0...
Declan/CNN_model_v7
[]
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-mlm-glue-qnli-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, then r...
[ -0.026645926758646965, 0.0018174942815676332, 0.0009314252529293299, 0.03422439098358154, 0.06538992375135422, 0.007437848951667547, 0.00045971653889864683, -0.009952574037015438, -0.033965885639190674, 0.05155625566840172, 0.007529546972364187, -0.03239349275827408, 0.027201661840081215, ...
Declan/ChicagoTribune_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-01-15T01:23:23Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-mlm-glue-stsb-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, then remove...
[ -0.025382032617926598, 0.0022617867216467857, -0.007378606125712395, 0.03871862217783928, 0.06432448327541351, 0.01113857887685299, 0.0004035537422169, -0.002436764305457473, -0.039533983916044235, 0.05251956731081009, 0.0026863000821322203, -0.027267247438430786, 0.027077779173851013, 0.0...
Declan/ChicagoTribune_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
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...
[ -0.03241179883480072, -0.00254370691254735, -0.019436048343777657, 0.05068093165755272, 0.039752013981342316, 0.025984978303313255, -0.001959047978743911, -0.036259494721889496, -0.02736666239798069, 0.04773629829287529, 0.023283418267965317, -0.005130555480718613, 0.019545212388038635, 0....
Declan/ChicagoTribune_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - science widget: - text: A photo of a pai symbol --- # DreamBooth model for the pai concept trained by 0xAnders. This is a Stable Diffusion model fine-tuned on the pai con...
[ -0.031850241124629974, -0.028475062921643257, 0.0053014615550637245, 0.026907827705144882, 0.028141237795352936, 0.013007269240915775, 0.004556240979582071, 0.005002015270292759, -0.006892576348036528, 0.0394526943564415, -0.0002143549354514107, 0.017138179391622543, 0.009561292827129364, ...
Declan/ChicagoTribune_model_v7
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- 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...
[ -0.04153510183095932, -0.0008773338049650192, -0.007641343865543604, 0.05071546882390976, 0.02736404351890087, 0.021733125671744347, -0.024707095697522163, -0.0375731997191906, -0.0066843158565461636, 0.04833763465285301, 0.017759116366505623, -0.009750383906066418, 0.019255278632044792, 0...
Declan/ChicagoTribune_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- 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 ...
[ -0.03745497018098831, -0.002484419848769903, -0.005032859276980162, 0.02570047602057457, 0.045373935252428055, -0.02145530842244625, -0.0051166824996471405, -0.027645695954561234, -0.03344270586967468, 0.06679318845272064, 0.03238161653280258, -0.023414766415953636, 0.023159079253673553, 0...
Declan/FoxNews_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-uncased-finetuned-labor_space 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 comme...
[ -0.014817262999713421, 0.008004439063370228, -0.032612212002277374, 0.03705922141671181, 0.060683075338602066, 0.028947897255420685, -0.01870541274547577, -0.02771868370473385, -0.04042728617787361, 0.06003772094845772, 0.044176410883665085, -0.01305239088833332, 0.006349167320877314, 0.03...
Declan/FoxNews_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-01-15T03:51:51Z
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-medium_sst2_negation0.0_pretrainedFalse_epochs30 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complet...
[ -0.019058039411902428, 0.0005729343392886221, -0.006508158519864082, 0.034202538430690765, 0.033512674272060394, 0.014971023425459862, -0.02084966003894806, -0.0008447599248029292, -0.03687469661235809, 0.039769504219293594, 0.01071886345744133, -0.026001326739788055, 0.0263281911611557, 0...
Declan/HuffPost_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-mlm-glue-qnli-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, then remove...
[ -0.024037327617406845, 0.0012805304722860456, 0.0010569284204393625, 0.032992031425237656, 0.06218051537871361, 0.005662803538143635, 0.0018910153303295374, -0.010248321108520031, -0.03605461120605469, 0.04744713380932808, 0.0029024616815149784, -0.030685925856232643, 0.03033597022294998, ...
Declan/Independent__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
2023-01-15T02:33:25Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1-TEST results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - ...
[ -0.02906632423400879, 0.01668902114033699, 0.004060567822307348, 0.008061555214226246, 0.04362660273909569, -0.017310932278633118, -0.02057475410401821, -0.015484294854104519, -0.030750200152397156, 0.0856143981218338, 0.01612812466919422, -0.008988161571323872, 0.017855258658528328, 0.017...
Declan/NPR_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned_emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: split...
[ -0.0102430060505867, 0.01078237034380436, -0.02946344204246998, 0.03700203448534012, 0.05988328531384468, 0.03334583342075348, -0.02375364862382412, -0.03612546995282173, -0.034492164850234985, 0.057384539395570755, 0.018564488738775253, -0.04486916959285736, 0.03447981923818588, 0.0445612...
Declan/NPR_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016524039208889008, -0.01881963200867176, -0.005798541475087404, 0.029516061767935753, 0.05296173691749573, -0.017884697765111923, -0.01173042319715023, -0.008864058181643486, -0.05927475169301033, 0.05465449020266533, -0.0022676466032862663, -0.008269158191978931, 0.025013387203216553, ...
Declan/NPR_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - 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...
[ -0.03978291526436806, 0.015827171504497528, 0.014216667972505093, 0.017630131915211678, 0.04900446906685829, -0.01300539169460535, -0.01998186856508255, -0.024028779938817024, -0.017797548323869705, 0.06794077903032303, 0.035913027822971344, -0.008314802311360836, 0.010993781499564648, -0....
Declan/NPR_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: small-mlm-glue-stsb-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, then re...
[ -0.022297166287899017, 0.000577974074985832, -0.0066679115407168865, 0.039172422140836716, 0.06131886690855026, 0.006342750508338213, 0.005371132865548134, -0.00039125472540035844, -0.04073720425367355, 0.046345554292201996, 0.0017853686586022377, -0.028401631861925125, 0.025763316079974174,...
Declan/NPR_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- language: - en tags: - stable-diffusion --- Momoko Model And Embeddigs Recommended to use two together. The resulting image will be awesome.
[ -0.026207810267806053, -0.03830939903855324, 0.018047591671347618, 0.014314098283648491, 0.04305031895637512, -0.007874340750277042, 0.01965402252972126, -0.010060860775411129, -0.022500235587358475, 0.05837109684944153, 0.04792841896414757, 0.006384895648807287, 0.00023381471692118794, 0....
Declan/NewYorkTimes_model_v3
[]
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-attempt1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: me...
[ -0.030277730897068977, 0.019775185734033585, 0.004590500611811876, 0.011864317581057549, 0.04458266496658325, -0.01834014058113098, -0.019810056313872337, -0.012262132950127125, -0.030511343851685524, 0.0826534852385521, 0.017682917416095734, -0.005745487287640572, 0.015295070596039295, 0....
Declan/NewYorkTimes_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
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 ...
[ -0.03737957403063774, -0.002828119555488229, -0.005466843023896217, 0.025766896083950996, 0.04547484219074249, -0.021494342014193535, -0.005553739611059427, -0.02797858789563179, -0.0330328494310379, 0.06654409319162369, 0.03221151605248451, -0.023633329197764397, 0.02245139889419079, 0.00...
Declan/NewYorkTimes_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-01-15T04:03:40Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: small-mlm-glue-qnli-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, then re...
[ -0.023079784587025642, -0.0003283812548033893, 0.0016612872714176774, 0.03401986509561539, 0.05926688760519028, 0.001619525020942092, 0.008371232077479362, -0.008769877254962921, -0.0379774309694767, 0.041944924741983414, 0.0008646242786198854, -0.030843311920762062, 0.02983340248465538, 0...
Declan/Politico_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### diffusionAI Dreambooth model trained by aaronsiim with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook Build your own usi...
[ -0.034060586243867874, -0.010929225943982601, -0.017839841544628143, 0.03402625396847725, 0.0461595244705677, -0.0008848440484143794, 0.004790124483406544, -0.0038644582964479923, -0.003350652288645506, 0.04023377224802971, 0.03803032636642456, 0.017165079712867737, -0.010414812713861465, ...
Declan/Politico_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- 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...
[ -0.034844204783439636, -0.0029135618824511766, -0.01902052015066147, 0.05033750459551811, 0.039116453379392624, 0.025126907974481583, -0.0004805629141628742, -0.03687058016657829, -0.027609724551439285, 0.04611003398895264, 0.022214924916625023, -0.004876770544797182, 0.020785579457879066, ...
Declan/Politico_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: creativeml-openrail-m --- For training purposes. Model: Anything 4.5
[ -0.05262380093336105, 0.014394738711416721, -0.036668866872787476, 0.009946282021701336, 0.056256428360939026, 0.027657752856612206, -0.009755615144968033, 0.004842777736485004, -0.020983263850212097, 0.042795322835445404, 0.022959204390645027, 0.0030480283312499523, 0.013229455798864365, ...
Declan/Politico_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: cc-by-nc-sa-4.0 language: - en thumbnail: "https://huggingface.co/GeneralAwareness/Cyberpunked/resolve/main/tmp71_2gsc8.png" tags: - stable-diffusion - v2 - text-to-image - image-to-image - Embedding --- Textual Inversion Embedding by General Awareness For SD 2.x trained on 768x768 images from various ...
[ -0.012538425624370575, -0.015323813073337078, -0.016931947320699692, 0.02920837700366974, 0.0516369566321373, 0.021339043974876404, -0.0018167884554713964, -0.008267700672149658, -0.020110325887799263, 0.06980958580970764, 0.03966079279780388, 0.012615786865353584, -0.01452113501727581, 0....
Declan/Reuters_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.02854101173579693, 0.017491796985268593, 0.0030150823295116425, 0.009760933928191662, 0.044634029269218445, -0.018546555191278458, -0.022016888484358788, -0.01681572198867798, -0.02975345216691494, 0.08462978899478912, 0.01725907251238823, -0.008656029589474201, 0.0176389142870903, 0.01...
Declan/Reuters_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: creativeml-openrail-m pipeline_tag: text-to-image --- ### a Better model is out, Go to https://huggingface.co/no3/kat-at3-beta1 ### kat from [Flipon](https://store.steampowered.com/app/1285020/Flipon/) on [WD](https://huggingface.co/hakurei/waifu-diffusion) via Dreambooth #### model by no3 This your waifu-...
[ -0.03820722550153732, -0.03405553847551346, -0.010030318982899189, 0.03312980383634567, 0.013381153345108032, 0.023567968979477882, 0.0017836291808634996, -0.005606015678495169, -0.02373124659061432, 0.043857641518116, 0.0343291200697422, 0.0053517501801252365, 0.009341171942651272, 0.0226...
Declan/Reuters_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
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...
[ -0.03268297389149666, -0.0012552911648526788, -0.019184963777661324, 0.04935283586382866, 0.040994711220264435, 0.028292682021856308, -0.0011042514815926552, -0.038226477801799774, -0.027526244521141052, 0.047472335398197174, 0.026957159861922264, -0.004570090211927891, 0.02018910087645054, ...
Declan/Reuters_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - 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...
[ -0.03249043598771095, -0.002768628764897585, -0.019542524591088295, 0.05082394927740097, 0.04017014056444168, 0.026093021035194397, -0.0021338583901524544, -0.036381058394908905, -0.02709263190627098, 0.04772406443953514, 0.023214993998408318, -0.00496735330671072, 0.019356446340680122, 0....
Declan/Reuters_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: creativeml-openrail-m pipeline_tag: text-to-image --- ### a Better model is out, Go to https://huggingface.co/no3/kat-at3-beta1 ### kat from [Flipon](https://store.steampowered.com/app/1285020/Flipon/) on [WD](https://huggingface.co/hakurei/waifu-diffusion) via Dreambooth #### model by no3 This your waifu-...
[ -0.03841836377978325, -0.03429150581359863, -0.010402904823422432, 0.03303566575050354, 0.013218283653259277, 0.02371753193438053, 0.0015958005096763372, -0.0055977473966777325, -0.023732032626867294, 0.043842677026987076, 0.03427078574895859, 0.005234281066805124, 0.009003548882901669, 0....
Declan/Reuters_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
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...
[ -0.05562720075249672, 0.004787511192262173, -0.004323909524828196, 0.056284788995981216, 0.025176487863063812, 0.027425263077020645, -0.0017278683371841908, -0.02897205576300621, -0.005308177787810564, 0.046915825456380844, 0.017145788297057152, -0.0123708201572299, 0.008527573198080063, 0...
Declan/WallStreetJournal_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-copter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 metr...
[ -0.04290083423256874, 0.015922507271170616, 0.015011582523584366, 0.016185743734240532, 0.04927071928977966, -0.015002924017608166, -0.02034914493560791, -0.023412339389324188, -0.017864840105175972, 0.06791230291128159, 0.03856705501675606, -0.007606838829815388, 0.012666983529925346, -0....
Declan/WallStreetJournal_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: cc-by-4.0 tags: - generated_from_trainer metrics: - accuracy - precision - recall - f1 model-index: - name: hing-roberta-NCM-run-3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, ...
[ -0.012715230695903301, -0.002587166614830494, -0.00990177784115076, 0.026613665744662285, 0.027526356279850006, 0.02074597217142582, -0.017983276396989822, -0.02162710204720497, -0.029875831678509712, 0.04678981006145477, 0.007638116832822561, -0.023410411551594734, 0.007224216591566801, 0...
Declan/WallStreetJournal_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- 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...
[ -0.05141458660364151, 0.008164308965206146, -0.007031901739537716, 0.05654122307896614, 0.0294472835958004, 0.032731108367443085, -0.0028032404370605946, -0.036062322556972504, -0.0038161720149219036, 0.050818316638469696, 0.01957467757165432, -0.013622265309095383, 0.00828598067164421, 0....
Declan/WallStreetJournal_model_v6
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: gpl-3.0 language: - en library_name: diffusers pipeline_tag: text-to-image tags: - generative ai - stable-diffusion - image-to-image - realism - art --- Anireal 2D v2 Finetuned Stable Diffusion 1.5 for generating images ![img](./e1.png) ![img](./ex1.png)
[ 0.008729233406484127, -0.007983619347214699, -0.004120073281228542, 0.017840230837464333, 0.055887360125780106, -0.00555257685482502, 0.012357809580862522, 0.0024422495625913143, -0.012910226359963417, 0.04307293891906738, 0.01820404827594757, 0.002957581775262952, 0.011297411285340786, 0....
Declan/WallStreetJournal_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: gpl-3.0 language: - en library_name: diffusers pipeline_tag: text-to-image tags: - generative ai - stable-diffusion - image-to-image - realism - art --- Anireal 2.5D v2 Finetuned Stable Diffusion 1.5 for generating images ![img](./e2.png) ![img](./ex2.png)
[ 0.00881137140095234, -0.008708358742296696, -0.004519961308687925, 0.017706066370010376, 0.05685623362660408, -0.0049970997497439384, 0.011862332932651043, 0.0009148849057964981, -0.0115407295525074, 0.043977461755275726, 0.017979823052883148, 0.0029415260069072247, 0.009436464868485928, 0...
Declan/test_model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: gpl-3.0 language: - en library_name: diffusers pipeline_tag: text-to-image tags: - generative ai - stable-diffusion - image-to-image - realism - art --- Anireal 3D v2 Finetuned Stable Diffusion 1.5 for generating images ![img](./e3.png) ![img](./ex3.png)
[ 0.008793170563876629, -0.008506842888891697, -0.007244876120239496, 0.01771676354110241, 0.05599645525217056, -0.004411747679114342, 0.012284345924854279, 0.0015604137443006039, -0.015144187025725842, 0.04413428530097008, 0.020494410768151283, 0.00273608835414052, 0.01216747798025608, 0.03...
DeepChem/ChemBERTa-10M-MLM
[ "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...
90
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 ...
[ -0.03738014027476311, -0.0022675441578030586, -0.004938178695738316, 0.025577977299690247, 0.04521709680557251, -0.02166602946817875, -0.005482440814375877, -0.027618136256933212, -0.03325536102056503, 0.06650568544864655, 0.03270537406206131, -0.023732567206025124, 0.02310769446194172, 0....
DeepChem/ChemBERTa-10M-MTR
[ "pytorch", "roberta", "arxiv:1910.09700", "transformers" ]
null
{ "architectures": [ "RobertaForRegression" ], "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_ng...
708
null
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: imagefolder metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # ddpm-osteosar...
[ 0.0012041659792885184, -0.022726425901055336, 0.017599022015929222, 0.02017025277018547, 0.0205397792160511, 0.0016204091953113675, 0.008009924553334713, -0.0030258893966674805, -0.0055873943492770195, 0.04168004170060158, 0.017352459952235222, -0.0004075442848261446, 0.001804156694561243, ...
DeepChem/ChemBERTa-5M-MLM
[ "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...
29
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-mlm-glue-stsb-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, then remove ...
[ -0.026753198355436325, 0.0025183747056871653, -0.007255297154188156, 0.034410201013088226, 0.0646870955824852, 0.017353234812617302, -0.004375061020255089, 0.0000668256834615022, -0.04326242208480835, 0.06066497415304184, 0.008316625840961933, -0.029353685677051544, 0.027876857668161392, 0...
DeepChem/ChemBERTa-5M-MTR
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "RobertaForRegression" ], "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_ng...
13
2023-01-15T06:12:45Z
--- license: gpl-3.0 language: - en library_name: diffusers pipeline_tag: text-to-image tags: - generative ai - stable-diffusion - image-to-image - realism - art --- Photoreal Semi v2 Finetuned Stable Diffusion 1.5 for generating images ![img](./e4.png) ![img](./ex4.png)
[ 0.005540011916309595, -0.004638013429939747, -0.008182692341506481, 0.014793693087995052, 0.054645854979753494, -0.006054102908819914, 0.01529987808316946, 0.004277830943465233, -0.01769612543284893, 0.04284755140542984, 0.020523566752672195, 0.004212276544421911, 0.012187492102384567, 0.0...
DeepESP/gpt2-spanish-medium
[ "pytorch", "tf", "jax", "gpt2", "text-generation", "es", "dataset:ebooks", "transformers", "GPT-2", "Spanish", "ebooks", "nlg", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
340
null
<p> anything is not pruned, 7GB model </p> <p> A model = anything-v3+0.3([bg-visualnovel]-[anything-v3]) </p> <p> B model = A model+0.3([NAIfull-latest]-[NAIsfw-latest]) </p> <p> <br> </p> <p> barcode4444 = B model+0.3([gape60]-[NAIfull-latest]) </p> <p> barcode9999 = [barcode4444]+1([f222]-[sd1.5]) </p> <p...
[ -0.014945842325687408, -0.03245873749256134, -0.00033837504452094436, 0.03632095083594322, 0.027447260916233063, -0.002941386541351676, -0.01644434779882431, -0.015358254313468933, -0.01827961392700672, 0.05848356708884239, 0.030759334564208984, 0.010750687681138515, 0.011124092154204845, ...
DeepPavlov/bert-base-multilingual-cased-sentence
[ "pytorch", "jax", "bert", "feature-extraction", "multilingual", "arxiv:1704.05426", "arxiv:1809.05053", "arxiv:1908.10084", "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...
140
null
--- license: apache-2.0 tags: - vision - depth-estimation - generated_from_trainer model-index: - name: glpn-nyu-finetuned-diode-230115-063851 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...
[ -0.047058042138814926, -0.01182787399739027, 0.005572855472564697, 0.010556184686720371, 0.03566309064626694, 0.010182040743529797, -0.007441563531756401, -0.010095803067088127, -0.01889694295823574, 0.039694417268037796, 0.02748197317123413, -0.027620119974017143, 0.018488725647330284, 0....
Doiman/DialoGPT-medium-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - science widget: - text: A painting of StarTrek starship, Michelangelo style --- # DreamBooth model for the StarTrek concept trained by vumichien on the vumichien/spaceship...
[ -0.02468736283481121, -0.03000503219664097, -0.00483780587092042, 0.0333804190158844, 0.021515488624572754, 0.01871420629322529, -0.010821986012160778, -0.0034718778915703297, -0.010325782932341099, 0.040250420570373535, 0.03910563886165619, -0.002463170327246189, 0.007944646291434765, 0.0...
albert-base-v1
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
38,156
2023-01-15T11:29:12Z
--- 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...
[ -0.041718147695064545, -0.001482962048612535, -0.007477701175957918, 0.04940777271986008, 0.028348036110401154, 0.021995784714818, -0.026785844936966896, -0.03741605207324028, -0.007307275198400021, 0.04985518008470535, 0.018229028210043907, -0.009038541465997696, 0.021832210943102837, 0.0...
albert-large-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
687
2023-01-15T11:35:46Z
--- library_name: stable-baselines3 tags: - CartpoleDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartpoleDMC-v0 type: CartpoleDMC-v0 ...
[ -0.03412078693509102, -0.007593986112624407, -0.01905631273984909, 0.04267837479710579, 0.044559162110090256, -0.001783092156983912, -0.001241652644239366, -0.019292091950774193, -0.04255058243870735, 0.06517594307661057, 0.020989859476685524, -0.03972850739955902, 0.012955413199961185, 0....
albert-xlarge-v2
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
2,973
2023-01-15T11:44:00Z
--- license: cc-by-nc-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-ucf101-subset 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...
[ -0.055442050099372864, -0.011844228021800518, 0.01630645990371704, 0.02172659896314144, 0.03912417218089104, 0.02055281028151512, -0.007386405020952225, -0.019937757402658463, -0.033257853239774704, 0.0423482246696949, 0.023580733686685562, -0.01945582590997219, 0.00896134227514267, 0.0352...
albert-xxlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
7,091
2023-01-15T11:44:37Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: split...
[ -0.009751840494573116, 0.010610981844365597, -0.029629744589328766, 0.03721508011221886, 0.061066508293151855, 0.033461444079875946, -0.023861950263381004, -0.03605961799621582, -0.03419194743037224, 0.056993771344423294, 0.018787967041134834, -0.045379750430583954, 0.03462325781583786, 0....
bert-base-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8,621,271
2023-01-15T11:50:29Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - food101 metrics: - accuracy model-index: - name: my_awesome_food_model results: - task: name: Image Classification type: image-classification dataset: name: food101 type: food101 config: default split: train[:...
[ -0.008404664695262909, -0.005771467462182045, 0.006025969050824642, 0.03607136756181717, 0.027887627482414246, -0.0035729275550693274, -0.0015976688591763377, -0.004035162273794413, -0.00967040192335844, 0.06321175396442413, 0.028900297358632088, -0.004434283822774887, -0.0002057987439911812...
bert-base-chinese
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "zh", "arxiv:1810.04805", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3,377,486
2023-01-15T11:59:47Z
--- 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 ...
[ -0.037530455738306046, -0.0024481606669723988, -0.0055434247478842735, 0.02567053958773613, 0.045725252479314804, -0.021588195115327835, -0.005226940382272005, -0.02767062745988369, -0.032622892409563065, 0.06664331257343292, 0.03220684081315994, -0.02357007935643196, 0.022410981357097626, ...
bert-base-german-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "exbert", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
175,983
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: sdcid --- ### Sample pictures of: sdcid (use that on your prompt) ![sdcid 0](https://huggingface.co/AppInApp/a0c306ab-cdd9-4303-ace9-6d021d3520d5/resolve/main/instance_data/sdcid_%286%29.jpg)![sdcid 1](https://huggingface.co/Ap...
[ -0.01841726340353489, -0.017913473770022392, -0.02671235427260399, 0.03584648296236992, 0.040829334408044815, 0.011370467022061348, -0.026382599025964737, -0.024082845076918602, -0.04854859039187431, 0.03926333412528038, 0.015863046050071716, 0.007160114124417305, -0.007156240753829479, 0....
bert-base-uncased
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
59,663,489
2023-01-15T12:30:10Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-mlm-glue-mrpc-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 complet...
[ -0.033042337745428085, 0.0022786830086261034, -0.004418410826474428, 0.03271994739770889, 0.06419255584478378, 0.011492354795336723, -0.006220972631126642, -0.004041716456413269, -0.03464625030755997, 0.06182120740413666, 0.027326907962560654, -0.028224840760231018, 0.02050515078008175, 0....
bert-large-cased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8,214
2023-01-15T12:35:34Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-mlm-glue-qqp-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, then remove ...
[ -0.025342170149087906, 0.0012729717418551445, 0.000395792507333681, 0.034746699035167694, 0.05944109335541725, -0.0012452712981030345, 0.008145968429744244, -0.006477185059338808, -0.03846810385584831, 0.04199393466114998, 0.004237547982484102, -0.0336885005235672, 0.02549191750586033, 0.0...
bert-large-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
388,769
2023-01-15T12:46:05Z
--- 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...
[ -0.04066712036728859, -0.0018480432918295264, -0.00809140969067812, 0.05010728910565376, 0.029336366802453995, 0.022130534052848816, -0.024100439622998238, -0.037544362246990204, -0.005758716259151697, 0.049037571996450424, 0.0189561415463686, -0.009450229816138744, 0.0195056963711977, 0.0...
bert-large-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,058,496
2023-01-15T12:52:49Z
--- 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...
[ -0.0349595881998539, 0.006629094015806913, 0.005011425353586674, 0.020703520625829697, 0.04896879196166992, -0.012026372365653515, -0.021284544840455055, -0.026061926037073135, -0.012482881546020508, 0.06633647531270981, 0.02700621448457241, -0.01406621653586626, 0.015103880316019058, -0.0...
distilbert-base-multilingual-cased
[ "pytorch", "tf", "onnx", "safetensors", "distilbert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", ...
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
8,339,633
2023-01-15T13:05:04Z
--- tags: - generated_from_trainer datasets: - custom_squad_v2 model-index: - name: kobigbird-pure2-36745331 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. --> # ko...
[ -0.051569864153862, -0.011792115867137909, -0.017892759293317795, 0.02386721968650818, 0.031874559819698334, 0.004784268792718649, -0.013264800421893597, -0.010268405079841614, -0.014996377751231194, 0.03347354754805565, 0.01446739211678505, -0.01566401496529579, 0.0051747835241258144, 0.0...
gpt2-large
[ "pytorch", "tf", "jax", "rust", "safetensors", "gpt2", "text-generation", "en", "arxiv:1910.09700", "transformers", "license:mit", "has_space" ]
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...
1,454,819
2023-01-15T13:15:52Z
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - wildcard widget: - text: >- a rabbit wearing sunglasses, in the style of <guo-chao> illustration, trending on artstation, masterpiece, best quality language: - zh -...
[ -0.011093798093497753, -0.025834236294031143, -0.003772149793803692, 0.04140626639127731, 0.05131915211677551, 0.0023236495908349752, -0.0013135033659636974, 0.011729400604963303, -0.003594478825107217, 0.05151035636663437, 0.010236483998596668, 0.009562492370605469, -0.0009374844958074391, ...
0xDEADBEA7/DialoGPT-small-rick
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
2023-01-15T14:27:03Z
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
1712871/manual_vn_electra_small
[]
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
2023-01-15T14:27:21Z
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
AAli/wav2vec2-base-demo-colab
[]
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...
[ -0.0419137217104435, -0.00151477986946702, -0.0077443490736186504, 0.04983571916818619, 0.02811325527727604, 0.022341322153806686, -0.025629056617617607, -0.03654297813773155, -0.005724288057535887, 0.04943295940756798, 0.018605045974254608, -0.010024148970842361, 0.02118106558918953, 0.03...
AI4Sec/cyner-xlm-roberta-base
[ "pytorch", "xlm-roberta", "token-classification", "transformers", "license:mit", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
8
2023-01-15T15:27:48Z
--- license: mit library_name: sklearn tags: - sklearn - skops - tabular-classification model_file: example.pkl widget: structuredData: area error: - 30.29 - 96.05 - 48.31 compactness error: - 0.01911 - 0.01652 - 0.01484 concave points error: - 0.01037 - 0.0137 - 0.0109...
[ -0.03866591677069664, -0.02428171969950199, -0.020490502938628197, 0.02406991273164749, 0.03946731612086296, -0.010158635675907135, -0.015231290832161903, 0.01795879565179348, -0.062053460627794266, 0.06980434060096741, 0.027372587472200394, -0.013238897547125816, 0.022434869781136513, 0.0...
AI4Sec/cyner-xlm-roberta-large
[ "xlm-roberta", "token-classification", "transformers", "license:mit", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
4
2023-01-15T15:29:24Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.019788993522524834, -0.014942062087357044, -0.008784450590610504, 0.029659541323781013, 0.0498640276491642, -0.01545780524611473, -0.010044884867966175, -0.010192867368459702, -0.05506882071495056, 0.05331536382436752, -0.00036485824966803193, -0.0076972669921815395, 0.02100689336657524, ...
AdapterHub/bert-base-uncased-pf-rte
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:nli/rte" ]
text-classification
{ "architectures": null, "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
4
null
--- tags: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: FrozenLake-v1-4x4_slippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4 type: FrozenLake-v1-4x4 metrics: ...
[ -0.01759684458374977, -0.018214445561170578, -0.002416312927380204, 0.029751891270279884, 0.05247446149587631, -0.017812982201576233, -0.009948812425136566, -0.004532243125140667, -0.05864438787102699, 0.05615384504199028, 0.0030505016911774874, -0.006160639692097902, 0.02769053354859352, ...
AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_no_lm
[]
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
2023-01-16T06:31:50Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017517445608973503, -0.01823149248957634, 0.0008399931248277426, 0.02903858758509159, 0.044738102704286575, -0.015513419173657894, -0.007465106435120106, -0.00937714148312807, -0.05890970304608345, 0.05540401116013527, -0.005264358129352331, -0.00812272448092699, 0.030558938160538673, 0...
AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ba", "dataset:mozilla-foundation/common_voice_7_0", "transformers", "generated_from_trainer", "hf-asr-leaderboard", "mozilla-foundation/common_voice_7_0", "robust-speech-event", "license:apache-2.0", "model-index", "has_space" ]
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...
64
null
--- tags: - generated_from_trainer metrics: - f1 model-index: - name: bert-base-chinese-finetuned-ner-food_requirement 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....
[ -0.01131105050444603, -0.0022113709710538387, 0.0027219809126108885, 0.034582484513521194, 0.03188670054078102, 0.004919013939797878, -0.020338458940386772, -0.02560395747423172, -0.03937673568725586, 0.04509671777486801, 0.02464352361857891, -0.028091514483094215, 0.019360674545168877, 0....
AimB/mT5-en-kr-aihub-netflix
[]
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
2023-01-16T06:44:55Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.67...
[ -0.0193684883415699, -0.01667630672454834, 0.0010448637185618281, 0.02511988766491413, 0.0397024005651474, 0.00022075696324463934, -0.014816765673458576, 0.005803591571748257, -0.03723650798201561, 0.053792763501405716, 0.012273818254470825, -0.005236769560724497, 0.0182785727083683, 0.025...
Akashpb13/xlsr_hungarian_new
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "hu", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "generated_from_trainer", "hf-asr-leaderboard", "model_for_talk", "mozilla-foundation/common_voice_8_0", "robust-speech-event", "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...
7
2023-01-16T07:51:32Z
--- library_name: stable-baselines3 tags: - CartpoleSparseDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartpoleSparseDMC-v0 type: Cartp...
[ -0.03364401310682297, -0.0074167391285300255, -0.02262469381093979, 0.04297179356217384, 0.055933877825737, 0.0013871965929865837, -0.0067362068220973015, -0.013610383495688438, -0.04756996035575867, 0.07136711478233337, 0.022959252819418907, -0.03585296496748924, 0.010603081434965134, 0.0...
Akashpb13/xlsr_kurmanji_kurdish
[ "pytorch", "safetensors", "wav2vec2", "automatic-speech-recognition", "kmr", "ku", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-...
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...
10
2023-01-16T07:52:27Z
--- library_name: stable-baselines3 tags: - CartpoleSwingupSparseDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartpoleSwingupSparseDMC-v0 ...
[ -0.045482128858566284, -0.0028043612837791443, -0.019487839192152023, 0.0416562519967556, 0.04921781271696091, -0.005980813875794411, -0.00738642830401659, -0.011774424463510513, -0.044488612562417984, 0.07513868063688278, 0.021530602127313614, -0.033387940376996994, 0.010105246677994728, ...
Akashpb13/xlsr_maltese_wav2vec2
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "mt", "dataset:common_voice", "transformers", "audio", "speech", "xlsr-fine-tuning-week", "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
2023-01-16T07:53:19Z
--- library_name: stable-baselines3 tags: - CartpoleTwoPolesDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartpoleTwoPolesDMC-v0 type: C...
[ -0.035348717123270035, -0.009661588817834854, -0.015170518308877945, 0.04218049347400665, 0.0470149852335453, -0.00038607511669397354, -0.007385186851024628, -0.019437680020928383, -0.04453818127512932, 0.06895001232624054, 0.020547589287161827, -0.036787815392017365, 0.006332486402243376, ...
Akbarariza/Anjar
[]
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
2023-01-16T07:54:01Z
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8 type: FrozenLake-v1-8x8 metrics: - type...
[ -0.018351338803768158, -0.017729854211211205, 0.007029443513602018, 0.028524158522486687, 0.04398230090737343, -0.017883773893117905, -0.0058406442403793335, -0.011802365072071552, -0.05410520359873772, 0.05258454009890556, -0.0021456440445035696, -0.004246518947184086, 0.03194564953446388, ...
Akira-Yana/distilbert-base-uncased-finetuned-cola
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-16T07:54:10Z
--- library_name: stable-baselines3 tags: - CartpoleThreePolesDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartpoleThreePolesDMC-v0 typ...
[ -0.03837418183684349, -0.011339356191456318, -0.019774340093135834, 0.04012863710522652, 0.046139493584632874, 0.0010137517238035798, -0.011418329551815987, -0.020022446289658546, -0.0467522032558918, 0.07014235109090805, 0.021014012396335602, -0.038824114948511124, 0.005140818655490875, 0...
Akiva/Joke
[]
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
2023-01-16T07:55:13Z
--- library_name: stable-baselines3 tags: - FingerSpinDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FingerSpinDMC-v0 type: FingerSpinDMC...
[ -0.034093212336301804, -0.012971661984920502, -0.0058403899893164635, 0.04475560039281845, 0.03624758869409561, 0.008020304143428802, -0.005508188623934984, -0.022950267419219017, -0.04390930384397507, 0.052119817584753036, 0.03503585234284401, -0.026327187195420265, 0.01155015267431736, 0...
AlanDev/DallEMiniButBetter
[]
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
2023-01-16T08:09:15Z
--- library_name: stable-baselines3 tags: - ManipulatorBringPegDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: ManipulatorBringPegDMC-v0 t...
[ -0.03366095572710037, -0.005581696517765522, -0.011812500655651093, 0.046780601143836975, 0.0544620156288147, 0.011834361590445042, -0.011454475112259388, -0.02050473354756832, -0.024521732702851295, 0.06247732415795326, 0.025093430653214455, -0.03695430979132652, 0.00834284070879221, 0.00...
AlanDev/dall-e-better
[]
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
2023-01-16T08:10:30Z
--- library_name: stable-baselines3 tags: - ManipulatorInsertBallDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: ManipulatorInsertBallDMC-v0 ...
[ -0.03293527662754059, -0.0063031818717718124, -0.012401432730257511, 0.04387978836894035, 0.05583341792225838, 0.013503916561603546, -0.012361939065158367, -0.022770725190639496, -0.022840963676571846, 0.05846515670418739, 0.024393731728196144, -0.03527995944023132, 0.012345750816166401, 0...
Aleksandar/bert-srb-ner-setimes
[ "pytorch", "bert", "token-classification", "transformers", "generated_from_trainer", "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...
8
2023-01-16T08:16:20Z
--- library_name: stable-baselines3 tags: - ReacherHardDMC-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DDPG results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: ReacherHardDMC-v0 type: ReacherHard...
[ -0.03187471255660057, -0.0010382523760199547, -0.008397337049245834, 0.0383804589509964, 0.05218007043004036, 0.004684525076299906, -0.013050948269665241, -0.03471805155277252, -0.04148521274328232, 0.05908459424972534, 0.033205434679985046, -0.02733526937663555, 0.011939077638089657, 0.00...
Aleksandar1932/distilgpt2-rock
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
2023-01-16T08:30:02Z
--- language: - id license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: Whisper Small Id - TheRains results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. Yo...
[ -0.047622084617614746, -0.0001131733224610798, -0.018396055325865746, 0.044549908488988876, 0.05727078393101692, 0.00021983524493407458, -0.0034255117643624544, 0.0006757863448001444, -0.022200394421815872, 0.06718949973583221, 0.029885873198509216, -0.018007852137088776, 0.00122926570475101...
AlekseyKulnevich/Pegasus-QuestionGeneration
[ "pytorch", "pegasus", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
17
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.039425142109394073, -0.014568132348358631, -0.013996416702866554, 0.03491857275366783, 0.04990827292203903, -0.005528972018510103, -0.014683089219033718, -0.024579891934990883, -0.030481841415166855, 0.05515560135245323, 0.023267319425940514, -0.03261403366923332, 0.020145980641245842, ...
Alerosae/SocratesGPT-2
[ "pytorch", "gpt2", "feature-extraction", "en", "transformers", "text-generation" ]
text-generation
{ "architectures": [ "GPT2Model" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
7
null
--- license: mit --- ### kukkia on Stable Diffusion This is the `<flowerpaintingstyle>` 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....
[ -0.020998355001211166, -0.02756391279399395, -0.01175516378134489, 0.020061856135725975, 0.008675597608089447, 0.007654531393200159, 0.0008715300937183201, 0.002412526635453105, -0.02831937186419964, 0.0552014485001564, 0.0010678349062800407, -0.011694230139255524, 0.03207100182771683, 0.0...
AlexMaclean/sentence-compression-roberta
[ "pytorch", "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_...
13
null
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-medium_sst2_negation0.0001_pretrainedTrue_epochs1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and comple...
[ -0.021788030862808228, -0.007759298197925091, -0.009661952964961529, 0.033545445650815964, 0.03361206501722336, 0.022378217428922653, -0.015210473909974098, 0.003218772355467081, -0.04320570081472397, 0.043088387697935104, 0.02539178356528282, -0.014827845618128777, 0.024226784706115723, 0...
AlexN/xls-r-300m-fr-0
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "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...
4
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-first results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_...
[ -0.030537066981196404, 0.017871059477329254, 0.002765208249911666, 0.010161775164306164, 0.04390174150466919, -0.01665084809064865, -0.022777223959565163, -0.015986688435077667, -0.031467504799366, 0.08346039801836014, 0.019994260743260384, -0.008332300931215286, 0.01738549955189228, 0.016...
AlexN/xls-r-300m-fr
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "fr", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "generated_from_trainer", "hf-asr-leaderboard", "mozilla-foundation/common_voice_8_0", "robust-speech-event", "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...
17
2023-01-16T09:31:03Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: tiny-mlm-snli-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 complete it, then ...
[ -0.02833881415426731, 0.005433257203549147, 0.0002694227732717991, 0.035057708621025085, 0.05712951719760895, 0.014328857883810997, -0.018699632957577705, -0.010683690197765827, -0.036579813808202744, 0.05703188478946686, 0.029820870608091354, -0.020104054361581802, 0.02812902070581913, 0....
Alireza1044/albert-base-v2-cola
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
32
null
--- tags: - dreambooth-hackathon pipeline_tag: text-to-image --- 中国奇谭第一季画风模型 import torch from diffusers import StableDiffusionPipeline pipe = StableDiffusionPipeline.from_pretrained("sd-dreambooth-library/cnstory", torch_dtype=torch.float16, use_auth_token=True) pipe = pipe.to("cuda") prompt = "a photograph of an...
[ -0.018122166395187378, -0.04010794684290886, -0.0012681850930675864, 0.030129488557577133, 0.04982845485210419, -0.003216348821297288, -0.008017638698220253, -0.0004885572707280517, -0.025192121043801308, 0.05405709519982338, 0.02598186582326889, 0.01004039030522108, -0.014956597238779068, ...
Alireza1044/albert-base-v2-mnli
[ "pytorch", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
235
null
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-xl_sst2_negation0.001_pretrainedTrue_epochs1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it...
[ -0.021861661225557327, -0.011476313695311546, -0.00583057664334774, 0.03402308374643326, 0.034030359238386154, 0.022847216576337814, -0.020022962242364883, -0.00005442167093860917, -0.03928321972489357, 0.04152151569724083, 0.023776505142450333, -0.017325296998023987, 0.02130124345421791, ...
Alireza1044/albert-base-v2-qnli
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
41
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-snli-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, then remove ...
[ -0.030467243865132332, 0.0024199048057198524, -0.0012065190821886063, 0.03477385267615318, 0.0560026578605175, 0.010032624937593937, -0.004588168580085039, -0.008920329622924328, -0.03317775949835777, 0.06146302819252014, 0.01681152731180191, -0.030367793515324593, 0.027086637914180756, 0....
Alireza1044/albert-base-v2-qqp
[ "pytorch", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
37
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...
[ -0.05106114596128464, 0.007501338608562946, -0.00759884575381875, 0.058749720454216, 0.026874788105487823, 0.0315275564789772, -0.003036751411855221, -0.03338009491562843, -0.004393310751765966, 0.05188175290822983, 0.017587294802069664, -0.012859934940934181, 0.007965050637722015, 0.02397...
Alireza1044/albert-base-v2-rte
[ "pytorch", "tensorboard", "albert", "text-classification", "en", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
30
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-snli-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, then remove this ...
[ -0.02501690946519375, 0.0026948032900691032, 0.0007767886272631586, 0.03686770424246788, 0.054083675146102905, 0.003366916673257947, -0.0023084625136107206, -0.00944574549794197, -0.03649235516786575, 0.053674548864364624, 0.0057042380794882774, -0.03053257241845131, 0.031562600284814835, ...