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
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51
438k
embedding
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Declan/NPR_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: - 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...
[ -0.0296852495521307, -0.002827215474098921, -0.01910552754998207, 0.05235442519187927, 0.04041706398129463, 0.02574094571173191, -0.0025134668685495853, -0.03649861365556717, -0.027460696175694466, 0.04839172214269638, 0.02312450483441353, -0.005164720583707094, 0.018655039370059967, 0.026...
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
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03682786226272583, -0.017038146033883095, -0.016540275886654854, 0.0510595329105854, 0.01117929257452488, 0.04447409510612488, -0.01840854622423649, -0.002739659510552883, -0.070090651512146, 0.08364398777484894, 0.03946809098124504, 0.013144438154995441, 0.00234610796906054, 0.04092745...
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: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- # MareColoris OctaFuzz - <a href="https://huggingface.co/Lucetepolis/OctaFuzz">Download</a><br/> RefSlave-V2 - <a href="https://civitai.com/models/11793/refslave-v2">Download</a><br...
[ -0.015865430235862732, -0.022137394174933434, -0.014749779365956783, 0.03309767693281174, 0.04106898605823517, 0.03646015003323555, -0.01154964417219162, 0.001883919583633542, -0.023897863924503326, 0.051413942128419876, 0.026294073089957237, -0.005910408217459917, -0.005325287114828825, 0...
Declan/WallStreetJournal_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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: lang_adapter_fa_digikala_multilingual_base_cased results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it,...
[ -0.023030683398246765, -0.011455226689577103, -0.008465451188385487, 0.05457385256886482, 0.03667078912258148, 0.019546445459127426, 0.0005973299848847091, -0.03127293661236763, -0.04542155936360359, 0.0680682584643364, 0.005857681855559349, -0.04392330348491669, 0.004276604391634464, 0.04...
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
2023-03-03T10:17:47Z
--- language: - multilingual - en - de - fr - ja license: mit tags: - object-detection - vision - generated_from_trainer - DocLayNet - COCO - PDF - IBM - Financial-Reports - Finance - Manuals - Scientific-Articles - Science - Laws - Law - Regulations - Patents - Government-Tenders - object-detection - image-segmentatio...
[ 0.012741277925670147, -0.01361661683768034, -0.000264251691987738, 0.022240152582526207, 0.03617179021239281, 0.021188823506236076, -0.03191978856921196, -0.016857558861374855, -0.020513221621513367, 0.054937634617090225, 0.030353134498000145, -0.03792395815253258, 0.004755664616823196, 0....
DeepChem/SmilesTokenizer_PubChem_1M
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
227
2023-03-02T12:52:47Z
--- tags: - conversational --- #qqpbksdj DailoGPT Model
[ -0.043951451778411865, 0.006376320030540228, 0.021212007850408554, 0.01800522580742836, 0.03017847053706646, 0.012309265322983265, 0.0002695492294151336, 0.024353470653295517, -0.02275269106030464, 0.012650066055357456, 0.028133047744631767, -0.03624775633215904, 0.0015728530706837773, 0.0...
DeepPavlov/bert-base-cased-conversational
[ "pytorch", "jax", "bert", "feature-extraction", "en", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3,009
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 ...
[ -0.03961790353059769, -0.01626177877187729, -0.015747355297207832, 0.03718426078557968, 0.048787470906972885, -0.003565586870536208, -0.01364089548587799, -0.024993853643536568, -0.030800772830843925, 0.05424383282661438, 0.02239667996764183, -0.03347035497426987, 0.0177020113915205, 0.015...
DeepPavlov/distilrubert-tiny-cased-conversational
[ "pytorch", "distilbert", "ru", "arxiv:2205.02340", "transformers" ]
null
{ "architectures": null, "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "n...
5,993
null
--- library_name: stable-baselines3 tags: - door-lock-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: door-lock-v2 type: door-lock-v2 metri...
[ -0.04362756013870239, -0.007235588971525431, -0.008752228692173958, 0.05305619165301323, 0.05026496574282646, 0.009493304416537285, 0.017123093828558922, -0.01159609854221344, -0.04216328635811806, 0.0636206567287445, 0.016697071492671967, -0.03811880573630333, 0.01459374651312828, 0.00891...
DeltaHub/adapter_t5-3b_cola
[ "pytorch", "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049484625458717346, -0.01630283147096634, -0.00871502049267292, 0.03621485456824303, 0.04126976802945137, 0.0029574711807072163, -0.0212321225553751, -0.010368985123932362, -0.03782615065574646, 0.056989990174770355, 0.024602828547358513, -0.002992732683196664, 0.031306587159633636, 0.0...
DeltaHub/adapter_t5-3b_qnli
[ "pytorch", "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049533143639564514, -0.016117094084620476, -0.008836125954985619, 0.03646170347929001, 0.041193220764398575, 0.0031580193899571896, -0.021061724051833153, -0.010323310270905495, -0.03797382488846779, 0.05688928812742233, 0.024343177676200867, -0.0032450323924422264, 0.03201131895184517, ...
DemangeJeremy/4-sentiments-with-flaubert
[ "pytorch", "flaubert", "text-classification", "fr", "transformers", "sentiments", "french", "flaubert-large" ]
text-classification
{ "architectures": [ "FlaubertForSequenceClassification" ], "model_type": "flaubert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
226
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 ...
[ -0.01489028986543417, -0.010478436946868896, -0.030211858451366425, 0.04497028514742851, 0.0367279052734375, 0.035996146500110626, -0.019814418628811836, -0.02079109102487564, -0.03719257190823555, 0.06475742161273956, 0.04681243747472763, -0.019277825951576233, 0.01918717660009861, 0.0425...
Denny29/DialoGPT-medium-asunayuuki
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: creativeml-openrail-m tags: - text-to-image --- ### Meryl_Stryfe_20230302_1330_rep_old_DS_8000_steps on Stable Diffusion via Dreambooth #### model by NickKolok This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20230302_1330_rep_old_DS_8000_steps concept taught to Stable Diffusion wit...
[ -0.03673890233039856, -0.009923413395881653, -0.034189559519290924, 0.01650053635239601, 0.029330063611268997, 0.024075822904706, -0.002781399292871356, -0.002763552824035287, -0.03486247360706329, 0.04640599340200424, 0.02872495725750923, 0.008304396644234657, -0.015118347480893135, 0.022...
DeskDown/MarianMixFT_en-ms
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
2023-03-02T13:47:09Z
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 instance_prompt: a photo of sks dog tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - tsinglin/save_models_0302 These are LoRA adaption weights for runwayml...
[ -0.032847028225660324, -0.017777394503355026, -0.025413095951080322, 0.02860221639275551, 0.040421366691589355, 0.006512927822768688, -0.016748446971178055, 0.0017936351941898465, -0.024184422567486763, 0.07309386879205704, 0.011233024299144745, -0.03758161887526512, -0.02708592638373375, ...
Despin89/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image --- ### Meryl_Stryfe_20230302_1330_rep_old_DS_4000_steps on Stable Diffusion via Dreambooth #### model by NickKolok This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20230302_1330_rep_old_DS_4000_steps concept taught to Stable Diffusion wit...
[ -0.03746679052710533, -0.010710195638239384, -0.0343269445002079, 0.016469020396471024, 0.029869459569454193, 0.024114014580845833, -0.0038450146093964577, -0.0024696425534784794, -0.03553912043571472, 0.04636819288134575, 0.029034700244665146, 0.010194270871579647, -0.01448052003979683, 0...
DevsIA/Devs_IA
[]
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
2023-03-02T14:01:32Z
--- license: creativeml-openrail-m tags: - text-to-image --- ### Meryl_Stryfe_20230302_1330_rep_old_DS_4800_steps on Stable Diffusion via Dreambooth #### model by NickKolok This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20230302_1330_rep_old_DS_4800_steps concept taught to Stable Diffusion wit...
[ -0.037558190524578094, -0.009565362706780434, -0.03408396989107132, 0.016045883297920227, 0.029085876420140266, 0.02400989457964897, -0.003555796341970563, -0.002036022488027811, -0.03623490780591965, 0.04618973657488823, 0.028377026319503784, 0.009091967716813087, -0.015495219267904758, 0...
DimaOrekhov/transformer-method-name
[ "pytorch", "encoder-decoder", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
2023-03-02T14:16:05Z
--- 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...
[ -0.04201773554086685, -0.00025562173686921597, -0.007443652953952551, 0.04867246001958847, 0.029491575434803963, 0.022356437519192696, -0.02582242712378502, -0.036984995007514954, -0.005270860623568296, 0.0490279495716095, 0.018402695655822754, -0.00896147359162569, 0.02083492837846279, 0....
Doogie/Waynehills-KE-T5-doogie
[]
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-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- license: creativeml-openrail-m tags: - stable-diffusion - text-to-image --- ---- # OrangeMixs "OrangeMixs" shares various Merge models that can be used with StableDiffusionWebui:Automatic1111 and others.Enjoy the drawing AI. ![](https://github.com/WarriorMama777/imgup/raw/main/img/img_general/img_orangemi...
[ -0.0016739561688154936, -0.023001277819275856, -0.012256265617907047, 0.042600423097610474, 0.05071311071515083, 0.017037469893693924, 0.01671920157968998, -0.0003104682546108961, -0.019293563440442085, 0.060113199055194855, 0.029290474951267242, 0.013872680254280567, 0.004151917062699795, ...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007696746848523617, 0.00593784311786294, -0.01680678501725197, 0.01588638685643673, 0.05864398926496506, -0.028182854875922203, 0.007876891642808914, -0.03344316780567169, -0.027659229934215546, 0.06622931361198425, 0.02703925408422947, -0.02797994762659073, -0.0015988802770152688, 0.02...
DoyyingFace/bert-asian-hate-tweets-asonam-unclean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- license: gpl-2.0 pipeline_tag: text-generation ---
[ -0.00205954909324646, 0.0021602988708764315, 0.005493651144206524, 0.006908002775162458, 0.0636315867304802, 0.0016699680127203465, -0.0011878452496603131, 0.027671976014971733, -0.02845820225775242, 0.05672522634267807, 0.04974036291241646, -0.004322711378335953, 0.01264696940779686, 0.02...
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
2023-03-02T15:02:32Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: norbert2_sentiment_norec_2 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. --> # norbert2...
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albert-base-v2
[ "pytorch", "tf", "jax", "rust", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
4,785,283
2023-03-02T15:03:31Z
--- 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 ...
[ -0.016173018142580986, -0.003801239188760519, -0.012253982946276665, 0.026563193649053574, 0.045218575745821, -0.018897926434874535, 0.0011672093532979488, -0.019802650436758995, -0.04010224714875221, 0.07857927680015564, 0.026335211470723152, -0.030660348013043404, 0.010162385180592537, 0...
albert-xlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
341
2023-03-02T15:05:59Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: ThursdayFebruary_2_2023_2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward valu...
[ -0.016247384250164032, -0.010776051320135593, -0.0075920880772173405, 0.02860027737915516, 0.04711678996682167, -0.0020306906662881374, -0.02036341093480587, 0.0021989592351019382, -0.038661256432533264, 0.05590443313121796, 0.022650601342320442, -0.005318102426826954, 0.00983684416860342, ...
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
2023-03-02T15:05:59Z
--- license: apache-2.0 --- [This model](https://zenodo.org/record/3733910#.ZAC53HbMJPY) is converted from the [MLPerf Inference BERT Tensorflow Model on SQuAD v1.1 dataset](https://zenodo.org/record/3733868) using the script in the [MLPerf inference repo](https://github.com/mlperf/inference). Authors: Po-Han Huang an...
[ -0.04531986638903618, -0.02608325704932213, -0.04087882116436958, 0.046589355915784836, 0.016212260350584984, 0.017871949821710587, -0.020444858819246292, 0.011550979688763618, -0.025476839393377304, 0.026054996997117996, 0.027330316603183746, -0.01825815811753273, 0.03826243430376053, 0.0...
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
2023-03-02T15:09:32Z
--- language: - en pipeline_tag: text-generation tags: - gpt ---
[ 0.0026468669530004263, -0.002058556769043207, 0.01564951241016388, 0.010739294812083244, 0.06251072138547897, 0.01801435276865959, 0.005084930919110775, 0.018150685355067253, -0.027678173035383224, 0.06591992825269699, 0.022788716480135918, -0.024761449545621872, -0.010676877573132515, 0.0...
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
2023-03-02T15:11:57Z
--- license: apache-2.0 --- [This model](https://zenodo.org/record/3733910#.ZAC53HbMJPY) is converted from the [MLPerf Inference BERT Tensorflow Model on SQuAD v1.1 dataset](https://zenodo.org/record/3733868) using the script in the [MLPerf inference repo](https://github.com/mlperf/inference). Authors: Po-Han Huang an...
[ -0.04531986638903618, -0.02608325704932213, -0.04087882116436958, 0.046589355915784836, 0.016212260350584984, 0.017871949821710587, -0.020444858819246292, 0.011550979688763618, -0.025476839393377304, 0.026054996997117996, 0.027330316603183746, -0.01825815811753273, 0.03826243430376053, 0.0...
bert-base-german-dbmdz-cased
[ "pytorch", "jax", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,814
2023-03-02T15:15:35Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049799636006355286, -0.016283363103866577, -0.008941678330302238, 0.03660040348768234, 0.04117187485098839, 0.0030671078711748123, -0.021303463727235794, -0.010672826319932938, -0.03797996789216995, 0.05691329762339592, 0.024178607389330864, -0.0028511362615972757, 0.03186066448688507, ...
bert-base-german-dbmdz-uncased
[ "pytorch", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "license:mit", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
68,305
2023-03-02T15:16:08Z
--- license: creativeml-openrail-m --- https://civitai.com/models/4664/lisa-lora-collection-of-trauters
[ -0.04176723212003708, -0.0027453287038952112, -0.008479300886392593, 0.03212066739797592, 0.042258597910404205, 0.012645875103771687, 0.011182619258761406, 0.0026640549767762423, -0.03526298701763153, 0.03515993058681488, 0.03327102214097977, -0.010969772934913635, 0.00027215128648094833, ...
bert-base-multilingual-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4,749,504
2023-03-02T15:17:14Z
--- license: creativeml-openrail-m --- https://civitai.com/models/9506/honkai-impact-3-herrscher-of-finality
[ -0.02321057952940464, -0.024781396612524986, -0.0008866786956787109, 0.001239134231582284, 0.03299291804432869, 0.0011967298341915011, -0.002896301681175828, -0.022235015407204628, -0.04896996542811394, 0.031017161905765533, 0.04453112930059433, 0.010755208320915699, 0.04069037735462189, 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
2023-03-02T15:19:38Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.050167713314294815, -0.016201825812458992, -0.008570929989218712, 0.0361337885260582, 0.04081049934029579, 0.002255361760035157, -0.020697209984064102, -0.01067177765071392, -0.037566907703876495, 0.05765830725431442, 0.024753551930189133, -0.0032789921388030052, 0.03142344579100609, 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
2023-03-02T15:21:28Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-filtered-emotions results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion con...
[ -0.008125699125230312, 0.011534485965967178, -0.027928918600082397, 0.03906994313001633, 0.05947423726320267, 0.03491533175110817, -0.0202587079256773, -0.036828476935625076, -0.03184229135513306, 0.05547909438610077, 0.017146093770861626, -0.04515145719051361, 0.034373775124549866, 0.0454...
bert-large-uncased-whole-word-masking
[ "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...
76,685
2023-03-02T15:32:53Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021876562386751175, -0.004491680301725864, 0.010137022472918034, 0.038448821753263474, 0.03231295198202133, 0.01560186967253685, -0.02773413248360157, -0.014797610230743885, -0.015171377919614315, 0.061403658241033554, 0.005828040186315775, 0.00031867221696302295, 0.01164100132882595, 0...
distilbert-base-cased-distilled-squad
[ "pytorch", "tf", "rust", "safetensors", "openvino", "distilbert", "question-answering", "en", "dataset:squad", "arxiv:1910.01108", "arxiv:1910.09700", "transformers", "license:apache-2.0", "model-index", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
257,745
2023-03-02T15:37:31Z
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### deboracosta Dreambooth model trained by rodrigogmdias 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 C...
[ -0.03471861407160759, -0.014015485532581806, -0.022087382152676582, 0.0322602279484272, 0.029505416750907898, 0.013473802246153355, 0.0012449254281818867, 0.003973803482949734, -0.016982387751340866, 0.03982624411582947, 0.03649717569351196, 0.0021107285283505917, -0.030167095363140106, 0....
distilbert-base-cased
[ "pytorch", "tf", "onnx", "distilbert", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1910.01108", "transformers", "license:apache-2.0", "has_space" ]
null
{ "architectures": null, "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "n...
574,859
2023-03-02T15:40:24Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-medium 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. --> # whisp...
[ -0.04037344828248024, -0.007091446779668331, -0.008364012464880943, 0.040520183742046356, 0.03915627673268318, 0.01794079691171646, 0.001944659510627389, 0.013079504482448101, -0.02903376892209053, 0.07327157258987427, 0.0403035543859005, -0.02421625517308712, 0.003888946957886219, 0.03437...
distilbert-base-german-cased
[ "pytorch", "safetensors", "distilbert", "fill-mask", "de", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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...
43,667
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.050099220126867294, -0.016387972980737686, -0.008369800634682178, 0.03615739569067955, 0.0407063290476799, 0.002384601626545191, -0.021023733541369438, -0.010920079424977303, -0.03770836815237999, 0.057309530675411224, 0.024594135582447052, -0.0033182355109602213, 0.032001178711652756, ...
distilgpt2
[ "pytorch", "tf", "jax", "tflite", "rust", "coreml", "safetensors", "gpt2", "text-generation", "en", "dataset:openwebtext", "arxiv:1910.01108", "arxiv:2201.08542", "arxiv:2203.12574", "arxiv:1910.09700", "arxiv:1503.02531", "transformers", "exbert", "license:apache-2.0", "model-...
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...
1,611,668
2023-03-02T15:43:43Z
--- 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...
[ -0.04881501942873001, 0.007789036259055138, -0.0082449521869421, 0.055780813097953796, 0.02821393497288227, 0.030756067484617233, -0.004014340694993734, -0.03462577983736992, -0.004683529492467642, 0.05304881930351257, 0.020563945174217224, -0.015001692809164524, 0.00879016425460577, 0.024...
distilroberta-base
[ "pytorch", "tf", "jax", "rust", "safetensors", "roberta", "fill-mask", "en", "dataset:openwebtext", "arxiv:1910.01108", "arxiv:1910.09700", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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...
3,342,240
2023-03-02T15:44:06Z
--- 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 ...
[ -0.037797652184963226, -0.01510572899132967, -0.014484329149127007, 0.037711337208747864, 0.050443459302186966, -0.004601501394063234, -0.010894695296883583, -0.02442271262407303, -0.03316928446292877, 0.053941819816827774, 0.02401549741625786, -0.031731389462947845, 0.01585475169122219, 0...
xlm-mlm-xnli15-1024
[ "pytorch", "tf", "xlm", "fill-mask", "multilingual", "en", "fr", "es", "de", "el", "bg", "ru", "tr", "ar", "vi", "th", "zh", "hi", "sw", "ur", "arxiv:1901.07291", "arxiv:1910.09700", "transformers", "license:cc-by-nc-4.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "XLMWithLMHeadModel" ], "model_type": "xlm", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_si...
2,050
2023-03-02T16:36:59Z
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04312662407755852, -0.0016738272970542312, 0.012392728589475155, 0.03662419691681862, 0.026249602437019348, -0.011988557875156403, -0.011278661899268627, -0.026095766574144363, -0.03882360830903053, 0.05546768009662628, 0.03753139451146126, 0.002983523765578866, 0.017957648262381554, 0....
123www/test_model
[ "pytorch", "wav2vec2", "transformers" ]
null
{ "architectures": [ "Wav2Vec2ForSpeechClassification" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
5
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...
[ -0.03984583541750908, -0.001177291152998805, -0.007854284718632698, 0.049588143825531006, 0.029716093093156815, 0.023025304079055786, -0.023343749344348907, -0.03708353266119957, -0.005318041890859604, 0.04961647093296051, 0.019834833219647408, -0.010264447890222073, 0.020948944613337517, ...
ASCCCCCCCC/bert-base-chinese-finetuned-amazon_zh_20000
[ "pytorch", "tensorboard", "bert", "text-classification", "transformers", "generated_from_trainer" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
43
2023-03-02T20:10:30Z
# Vocabulary Trimmed [lmqg/mt5-base-ruquad-qg](https://huggingface.co/lmqg/mt5-base-ruquad-qg): `vocabtrimmer/mt5-base-ruquad-qg-trimmed-15000` This model is a trimmed version of [lmqg/mt5-base-ruquad-qg](https://huggingface.co/lmqg/mt5-base-ruquad-qg) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-trimmer),...
[ -0.012349571101367474, -0.027907921001315117, -0.016833283007144928, 0.030011383816599846, 0.02095094323158264, 0.0018274150788784027, -0.005033738445490599, 0.0031541893258690834, -0.04336094856262207, 0.03640587627887726, 0.011392811313271523, -0.028761284425854683, 0.01400742121040821, ...
Ab0/keras-dummy-functional-demo
[ "keras" ]
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
2023-03-02T21:22:13Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02280750684440136, -0.005575530230998993, 0.009014260955154896, 0.040189892053604126, 0.03339843451976776, 0.015218626707792282, -0.02724076807498932, -0.016902761533856392, -0.013516050763428211, 0.05911034718155861, 0.0061205788515508175, -0.0007677300018258393, 0.009487233124673367, ...
AbidHasan95/movieHunt2
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
6
2023-03-02T21:49:25Z
--- license: apache-2.0 language: - en metrics: - accuracy pipeline_tag: image-classification tags: - climate --- ## Model description This is a transformers based image classification model, implemented using the technique of transfer learning. The pretrained model is [Vision transformer](https://huggingface.co/goog...
[ -0.02838791348040104, -0.002454385394230485, -0.03072713129222393, 0.02293703518807888, 0.051241498440504074, -0.019817596301436424, -0.013728528283536434, -0.003459327621385455, -0.018011391162872314, 0.060635726898908615, 0.010372229851782322, 0.013016292825341225, 0.01730256713926792, 0...
AccurateIsaiah/DialoGPT-small-jefftastic
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: temp 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. --> # temp This model is a fine-tun...
[ -0.03427581861615181, -0.0049804202280938625, -0.004093374125659466, 0.045018989592790604, 0.0383979007601738, 0.009686817415058613, -0.0014735094737261534, -0.003475855803117156, -0.027841471135616302, 0.057151831686496735, 0.03792600333690643, -0.022123116999864578, -0.00193081668112427, ...
AdapterHub/bert-base-uncased-pf-copa
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "adapterhub:comsense/copa" ]
null
{ "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
2023-03-02T22:18:09Z
--- tags: - Riverraid-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Riverraid-v5 type: Riverraid-v5 metrics: ...
[ -0.02308640442788601, -0.011161457747220993, -0.0022595117334276438, 0.03361164405941963, 0.03401796519756317, -0.009337841533124447, -0.02374173514544964, -0.030977124348282814, -0.019970683380961418, 0.05645528808236122, 0.009066673927009106, -0.004955131560564041, 0.0018743312684819102, ...
AdapterHub/roberta-base-pf-qqp
[ "roberta", "en", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:sts/qqp" ]
text-classification
{ "architectures": null, "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_...
0
2023-03-02T23:39:29Z
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de-fr results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.03644220158457756, -0.01504308171570301, 0.004040168598294258, 0.029872696846723557, 0.02315576933324337, 0.02121560275554657, -0.018612314015626907, -0.00852271169424057, -0.029718058183789253, 0.045627664774656296, 0.024685228243470192, -0.05248713120818138, 0.010802006348967552, 0.03...
AdapterHub/roberta-base-pf-quail
[ "roberta", "en", "dataset:quail", "arxiv:2104.08247", "adapter-transformers" ]
null
{ "architectures": null, "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_...
0
2023-03-02T23:41:38Z
--- tags: - conversational --- #Harry Potter DialoGPT Model
[ -0.02885996736586094, 0.003791982773691416, 0.013054605573415756, 0.033581316471099854, 0.009907766245305538, 0.019981805235147476, 0.0020598077680915594, 0.01479269564151764, -0.017083633691072464, 0.009989487007260323, 0.030466893687844276, -0.0360698327422142, 0.006808210164308548, 0.03...
AdapterHub/roberta-base-pf-record
[ "roberta", "en", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:rc/record" ]
text-classification
{ "architectures": null, "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_...
0
2023-03-07T10:10:13Z
--- license: wtfpl tags: - guide - stable diffusion - webui - automatic1111 - stable-diffusion-webui - lora language: - en --- **[⭐ CLICK HERE TO OPEN THIS DOCUMENT IN FULL WIDTH](README.md#index)** **(The index won't work otherwise).** [🇪🇸🇲🇽 HAZ CLICK AQUÍ PARA VER ESTA GUÍA EN ESPAÑOL](spanish.md#index) &nbs...
[ -0.001765630440786481, -0.018422571942210197, 0.0016605451237410307, 0.04231174290180206, 0.04592591151595116, 0.0057108658365905285, 0.03155362233519554, -0.004705649800598621, -0.01599421165883541, 0.04654746130108833, 0.01776876300573349, -0.008870460093021393, 0.004549134057015181, 0.0...
AdapterHub/roberta-base-pf-scitail
[ "roberta", "en", "dataset:scitail", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:nli/scitail" ]
text-classification
{ "architectures": null, "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_...
1
2023-03-02T23:59:33Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.024041607975959778, -0.005184829700738192, 0.010649258270859718, 0.03890614956617355, 0.032062213867902756, 0.01566500961780548, -0.02683599665760994, -0.017113421112298965, -0.014850488863885403, 0.059131622314453125, 0.005458927247673273, 0.002556244609877467, 0.012638998217880726, 0....
Aeroxas/Botroxas-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
2023-03-03T00:54:30Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_reward...
[ -0.02883034572005272, 0.020905232056975365, 0.00605768384411931, 0.010040434077382088, 0.04375350847840309, -0.01838524639606476, -0.022725816816091537, -0.016578514128923416, -0.031704921275377274, 0.085014708340168, 0.019658256322145462, -0.009432058781385422, 0.017971457913517952, 0.016...
Ahmedahmed/Wewe
[]
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: other thumbnail: >- replicant.jpg tags: - text-to-image - stable-diffusion - safetensors inference: false --- # Untitled:Replicant Model Card Japanese version is [here](README_jp.md). # Introduction Untitled:Replicant is the latent diffusion model made for AI art. # Usage I recommend to use the...
[ 0.004120067227631807, -0.02417035400867462, 0.005047115962952375, 0.048266954720020294, 0.03428718447685242, 0.013661923818290234, 0.007725737057626247, -0.025966279208660126, -0.018301254138350487, 0.036552779376506805, 0.013150401413440704, -0.010676432400941849, 0.004798662383109331, 0....
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
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...
[ -0.0318056158721447, -0.0023369931150227785, -0.01987651363015175, 0.05108064040541649, 0.04015384986996651, 0.025671489536762238, -0.0016570037696510553, -0.03597572073340416, -0.028142161667346954, 0.04858696460723877, 0.02356516383588314, -0.005268999841064215, 0.020488275215029716, 0.0...
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
null
--- license: cc-by-nc-4.0 datasets: - fka/awesome-chatgpt-prompts - stanfordnlp/SHP language: - am metrics: - bertscore library_name: asteroid tags: - music ---
[ -0.028797097504138947, -0.015293926931917667, -0.013804899528622627, 0.012077008374035358, 0.05405975878238678, -0.003723086789250374, -0.008323422633111477, -0.0006901558954268694, -0.028937462717294693, 0.03757844865322113, 0.056993257254362106, 0.04445696622133255, 0.021056214347481728, ...
Akjder/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: fish results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.8571428656578064 --- # fish Autogenerated by Huggi...
[ -0.0104276267811656, -0.016349362209439278, 0.028353629633784294, 0.04125130921602249, 0.04046108201146126, -0.01052138488739729, -0.04362665116786957, -0.017436672002077103, -0.004898413550108671, 0.04523482546210289, 0.027664178982377052, 0.004525492433458567, 0.004712192807346582, 0.041...
AkshatSurolia/BEiT-FaceMask-Finetuned
[ "pytorch", "beit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "BeitForImageClassification" ], "model_type": "beit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
239
null
--- tags: - generated_from_trainer datasets: - samsum model-index: - name: pegasus-samsum 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. --> # pegasus-samsum This ...
[ -0.03488487750291824, -0.008139961399137974, -0.006901239510625601, 0.03506578132510185, 0.047533754259347916, 0.020218482241034508, 0.0030652794521301985, -0.019285233691334724, -0.04515194147825241, 0.06775780022144318, 0.03152487426996231, -0.01810222677886486, 0.010120799764990807, 0.0...
AkshatSurolia/ICD-10-Code-Prediction
[ "pytorch", "bert", "transformers", "text-classification", "license:apache-2.0", "has_space" ]
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...
994
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/reklambox2-8-17 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot lear...
[ -0.00895075872540474, -0.03208227455615997, -0.011957577429711819, 0.05814351886510849, 0.03068959154188633, 0.026527710258960724, -0.02083335630595684, -0.001855229027569294, -0.04038863629102707, 0.07015369832515717, 0.02755330316722393, 0.017319142818450928, 0.025708362460136414, 0.0140...
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
null
--- license: apache-2.0 language: - en --- **VLE** (**V**isual-**L**anguage **E**ncoder) is an image-text multimodal understanding model built on the pre-trained text and image encoders. It can be used for multimodal discriminative tasks such as visual question answering and image-text retrieval. Especially on the v...
[ -0.00271418085321784, -0.0025206191930919886, 0.0191607978194952, 0.0269416905939579, 0.04335933178663254, -0.012173409573733807, -0.005937804467976093, -0.01602562516927719, -0.008605265989899635, 0.016626182943582535, 0.018229525536298752, -0.03028813563287258, 0.0008781926590017974, 0.0...
AlbertHSU/BertTEST
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
8
null
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: rare-puppers results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.21176470816135406 --- # rare-puppers Autog...
[ -0.0033362789545208216, -0.012296204455196857, 0.030345652252435684, 0.04017798975110054, 0.045477867126464844, -0.008054139092564583, -0.035378679633140564, -0.026973584666848183, -0.012782159261405468, 0.05039001628756523, 0.031158871948719025, 0.0018842131830751896, -0.0007949079154059291...
Alberto15Romero/GptNeo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer model-index: - name: Vi-test4 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. --> # Vi-test4 This model is a fine-tu...
[ -0.040743257850408554, -0.014816255308687687, 0.0011504476424306631, 0.022868046537041664, 0.016744136810302734, 0.02311713621020317, -0.006536952685564756, -0.021075179800391197, -0.03777126595377922, 0.04860725253820419, 0.01976865343749523, -0.010873140767216682, 0.03768814727663994, 0....
AlchemistDude/DialoGPT-medium-Gon
[]
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: dgx1_whisper_tiny_finetune_teacher_babble_noise_mozilla_40_epochs_batch_32 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proof...
[ -0.03087555803358555, -0.0007760841399431229, -0.002713895170018077, 0.0515141636133194, 0.029067890718579292, 0.01188869122415781, -0.007154813967645168, 0.009271398186683655, -0.0228816457092762, 0.08348865807056427, 0.01566995121538639, -0.03838038817048073, 0.032529618591070175, 0.0177...
Ale/Alen
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04077030345797539, 0.016248345375061035, 0.014611007645726204, 0.017054788768291473, 0.0486229732632637, -0.013479933142662048, -0.020058827474713326, -0.023422399535775185, -0.016583314165472984, 0.06837078183889389, 0.036655575037002563, -0.007040224503725767, 0.012127301655709743, -0...
Aleksandar/distilbert-srb-ner-setimes
[ "pytorch", "distilbert", "token-classification", "transformers", "generated_from_trainer", "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, ...
3
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...
[ -0.01807682402431965, -0.018034901469945908, -0.007196652237325907, 0.030211208388209343, 0.051073286682367325, -0.017358416691422462, -0.011418352834880352, -0.009106400422751904, -0.05857488885521889, 0.053124506026506424, -0.0022058836184442043, -0.008174905553460121, 0.024065878242254257...
Aleksandar/distilbert-srb-ner
[ "pytorch", "distilbert", "token-classification", "sr", "dataset:wikiann", "transformers", "generated_from_trainer", "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, ...
9
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...
[ -0.03941265121102333, -0.002122925827279687, -0.006956605706363916, 0.048029955476522446, 0.027931826189160347, 0.02250906638801098, -0.025504956021904945, -0.03631722927093506, -0.006113928277045488, 0.04946137219667435, 0.016495056450366974, -0.009230335243046284, 0.01935884729027748, 0....
Aleksandar/electra-srb-ner-setimes-lr
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.73 ...
[ -0.019678456708788872, -0.01594441384077072, -0.00864565558731556, 0.02613089419901371, 0.04698457196354866, 0.0002528550394345075, -0.019745085388422012, 0.007313652895390987, -0.03615157678723335, 0.05298970639705658, 0.018710536882281303, -0.00592567166313529, 0.010653302073478699, 0.02...
Aleksandar/electra-srb-oscar
[ "pytorch", "electra", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "ElectraForMaskedLM" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
6
null
--- license: apache-2.0 --- Korean Pre-Trained Crypto RoBERTa model fine-tuned on BTC sentiment classification dataset. For more details, check our work [CBITS: Crypto BERT Incorporated Trading System](https://ieeexplore.ieee.org/document/10014986) on IEEE Access. ## Example Use Case: BTC Sentiment Classification ``...
[ -0.020520221441984177, -0.018874354660511017, -0.01203114539384842, 0.03493683412671089, 0.03915873542428017, 0.024046391248703003, -0.007871308363974094, 0.008481414057314396, -0.0418635718524456, 0.045602936297655106, 0.032629095017910004, -0.01838304102420807, 0.02047523483633995, 0.044...
Aleksandar1932/gpt2-country
[ "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...
12
null
--- license: apache-2.0 --- Korean Pre-Trained Crypto DeBERTa model fine-tuned on BTC sentiment classification dataset. For more details, check our work [CBITS: Crypto BERT Incorporated Trading System](https://ieeexplore.ieee.org/document/10014986) on IEEE Access. ## Example Use Case: Crypto News BTC Sentiment Classi...
[ -0.028478117659687996, -0.029418660327792168, -0.016542501747608185, 0.03476771339774132, 0.03480781987309456, 0.02631393074989319, -0.0007566885324195027, 0.008470756933093071, -0.04140303656458855, 0.04874839633703232, 0.03159157931804657, -0.012719200924038887, 0.014280741102993488, 0.0...
Aleksandar1932/gpt2-soul
[ "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...
10
null
--- license: apache-2.0 --- Korean Pre-Trained Crypto BERT model fine-tuned on BTC sentiment classification dataset. For more details, check our work [CBITS: Crypto BERT Incorporated Trading System](https://ieeexplore.ieee.org/document/10014986) on IEEE Access. ## Example Use Case: Crypto News BTC Sentiment Classific...
[ -0.027647828683257103, -0.018754806369543076, -0.01748702861368656, 0.04232354834675789, 0.03177656978368759, 0.022690244019031525, -0.0005659324815496802, 0.008261235430836678, -0.03562809154391289, 0.044326018542051315, 0.02800728939473629, -0.009287158027291298, 0.01786215230822563, 0.0...
Aleksandar1932/gpt2-spanish-classics
[ "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...
9
null
--- language: - ko license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - Bingsu/zeroth-korean model-index: - name: Whisper Tiny Ko - TJ results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proof...
[ -0.04767204448580742, -0.014273443259298801, 0.0027020112611353397, 0.04739641025662422, 0.03977511450648308, 0.00885047111660242, -0.00066437351051718, 0.013983339071273804, -0.028702622279524803, 0.04703940078616142, 0.017324628308415413, -0.020993156358599663, 0.005562579724937677, 0.02...
Aleksandra/herbert-base-cased-finetuned-squad
[ "pytorch", "tensorboard", "bert", "question-answering", "transformers", "generated_from_trainer", "license:cc-by-4.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8
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...
[ -0.01023167185485363, 0.010215895250439644, -0.028362799435853958, 0.03674410283565521, 0.061287689954042435, 0.03230487182736397, -0.0226758923381567, -0.03629041090607643, -0.033276259899139404, 0.057348188012838364, 0.018436934798955917, -0.04557930305600166, 0.034106191247701645, 0.045...
adorkin/xlm-roberta-en-ru-emoji
[ "pytorch", "safetensors", "xlm-roberta", "text-classification", "en", "ru", "dataset:tweet_eval", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1-policygradient results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metri...
[ -0.023885486647486687, 0.020572170615196228, 0.004245655611157417, 0.012638742104172707, 0.0429154634475708, -0.016466623172163963, -0.018695492297410965, -0.017929626628756523, -0.026591040194034576, 0.07986921817064285, 0.015779605135321617, -0.012676218524575233, 0.01764638163149357, 0....
AlekseyKorshuk/bert
[ "pytorch", "distilbert", "text-classification", "transformers", "generated_from_trainer", "license:apache-2.0" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
# Vocabulary Trimmed [lmqg/mt5-base-frquad-qg](https://huggingface.co/lmqg/mt5-base-frquad-qg): `vocabtrimmer/mt5-base-frquad-qg-trimmed-45000` This model is a trimmed version of [lmqg/mt5-base-frquad-qg](https://huggingface.co/lmqg/mt5-base-frquad-qg) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-trimmer),...
[ -0.010043956339359283, -0.028495918959379196, -0.01674077659845352, 0.027180178090929985, 0.015341352671384811, -0.000509807956404984, -0.007604507729411125, 0.006520665716379881, -0.038433484733104706, 0.03397143632173538, 0.006672893185168505, -0.02520724944770336, 0.007509696763008833, ...
AlekseyKulnevich/Pegasus-HeaderGeneration
[ "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...
8
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/reklambox2-16-21 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot lea...
[ -0.008752825669944286, -0.03215951845049858, -0.012229293584823608, 0.058351095765829086, 0.031100181862711906, 0.02621222473680973, -0.020600521937012672, -0.0011665604542940855, -0.040542397648096085, 0.06953293085098267, 0.027740322053432465, 0.017725655809044838, 0.02557472512125969, 0...
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: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: flan-t5 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. --> # flan-t5 T...
[ -0.018082590773701668, -0.015437978319823742, -0.0060738991014659405, 0.046196650713682175, 0.03627704083919525, -0.014749952591955662, -0.021294258534908295, -0.014290224760770798, -0.03458821028470993, 0.03878111392259598, 0.013677251525223255, -0.02721947431564331, 0.005790181923657656, ...
Alfia/anekdotes
[]
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: - summarization - generated_from_trainer metrics: - rouge model-index: - name: Abhi_mt5-small_v1 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 ...
[ -0.019032735377550125, -0.005488966591656208, -0.010412649251520634, 0.018558423966169357, 0.039094578474760056, -0.0005522910505533218, -0.02727976255118847, -0.014533490873873234, -0.03508684039115906, 0.05891446769237518, 0.01816725730895996, -0.03398701176047325, 0.0137203149497509, 0....
Alicanke/Wyau
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.042690325528383255, -0.021730192005634308, -0.011805589310824871, 0.03484183922410011, 0.04878938943147659, -0.009641606360673904, -0.008331941440701485, -0.02653590962290764, -0.028560470789670944, 0.05769813433289528, 0.020129462704062462, -0.03813525661826134, 0.01742616854608059, 0....
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: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 instance_prompt: A photo of a pink frame tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - Akuxcw/leyiwen5 These are LoRA adaption weights for runwayml/stab...
[ -0.019837375730276108, -0.03696448728442192, -0.020547041669487953, 0.03535667806863785, 0.03452073410153389, -0.005255954805761576, -0.007135231979191303, -0.00524153420701623, -0.010905321687459946, 0.06284529715776443, 0.015505710616707802, -0.021653633564710617, -0.028419338166713715, ...
Alireza1044/albert-base-v2-sst2
[ "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...
52
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.045617133378982544, -0.0009725081035867333, -0.021850669756531715, 0.0321805365383625, 0.04381593316793442, 0.017947768792510033, -0.018188968300819397, -0.030474014580249786, -0.03760071098804474, 0.06916595995426178, 0.021673424169421196, 0.0035512077156454325, 0.015216757543385029, 0...
Aloka/mbart50-ft-si-en
[ "pytorch", "tensorboard", "mbart", "text2text-generation", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 instance_prompt: A photo of a leyiwen pcb unit tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - Akuxcw/leyiwen7 These are LoRA adaption weights for runwaym...
[ -0.032141804695129395, -0.023601900786161423, -0.029269224032759666, 0.03362558037042618, 0.03770829364657402, -0.0008162427111528814, -0.0034958531614392996, -0.003561595920473337, -0.0150607293471694, 0.054472681134939194, 0.007542788051068783, -0.02235150896012783, -0.027889808639883995, ...
Alvenir/wav2vec2-base-da
[ "pytorch", "wav2vec2", "pretraining", "da", "transformers", "speech", "license:apache-2.0" ]
null
{ "architectures": [ "Wav2Vec2ForPreTraining" ], "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...
62
2023-03-03T08:19:47Z
--- license: mit tags: - generated_from_trainer metrics: - wer model-index: - name: Vi-gec5 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. --> # Vi-gec5 This model...
[ -0.02824047952890396, -0.001091076759621501, 0.013350844383239746, 0.018963219597935677, 0.03051532432436943, 0.007332021836191416, -0.01551649160683155, -0.01343571674078703, -0.03188614547252655, 0.05536377802491188, 0.015463153831660748, -0.03000686503946781, 0.012387962080538273, 0.039...
Amalq/distilroberta-base-finetuned-MentalHealth
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-03T08:22:52Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0-policygradient results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: ...
[ -0.03680620342493057, 0.01657330058515072, 0.013720028102397919, 0.019293876364827156, 0.04850850626826286, -0.011245636269450188, -0.018473487347364426, -0.024630829691886902, -0.01591823250055313, 0.06518447399139404, 0.03372010588645935, -0.01051949430257082, 0.011984224431216717, -0.01...
Amalq/roberta-base-finetuned-schizophreniaReddit2
[ "pytorch", "tensorboard", "roberta", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "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
2023-03-03T08:26:07Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.76 ...
[ -0.022211937233805656, -0.019002556800842285, -0.0045083859004080296, 0.02603539451956749, 0.04440218582749367, -0.007634347770363092, -0.013186396099627018, 0.006215687375515699, -0.03748313710093498, 0.05283239111304283, 0.020550372079014778, -0.003491162322461605, 0.014183002524077892, ...
Amir99/toxic
[]
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: openrail tags: - stable-diffusion - stable-diffusion-diffusers - controlnet - endpoints-template thumbnail: "https://huggingface.co/philschmid/ControlNet-endpoint/resolve/main/thumbnail.png" inference: true --- # Inference Endpoint for [ControlNet](https://huggingface.co/lllyasviel/ControlNet) using [run...
[ -0.024579450488090515, 0.013543374836444855, -0.005514933727681637, 0.03426771238446236, 0.03206642344594002, 0.025310959666967392, -0.005688399076461792, -0.011450734920799732, -0.013041026890277863, 0.03460920229554176, 0.0026331970002502203, 0.011636525392532349, 0.012471125461161137, 0...
AndrewMcDowell/wav2vec2-xls-r-1b-arabic
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ar", "dataset:common_voice", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
7
null
--- tags: - autotrain - tabular - regression - tabular-regression datasets: - farouk97/autotrain-data-test7-2644pc-linearregr co2_eq_emissions: emissions: 3.801725033462415 --- # Model Trained Using AutoTrain - Problem type: Single Column Regression - Model ID: 38619101723 - CO2 Emissions (in grams): 3.8017 ## Val...
[ -0.009903275407850742, -0.020539425313472748, 0.019370632246136665, 0.0422133132815361, 0.048455238342285156, 0.022891873493790627, -0.015568248927593231, 0.0026450229343026876, -0.048794448375701904, 0.06822336465120316, 0.023909546434879303, 0.016024410724639893, 0.03318294882774353, 0.0...
AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ja", "dataset:common_voice", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "hf-asr-leaderboard", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
6
2023-03-03T09:42:52Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.020099587738513947, -0.005025108810514212, 0.010559004731476307, 0.03684069588780403, 0.032685536891222, 0.015014426782727242, -0.028366485610604286, -0.01540535781532526, -0.016066735610365868, 0.062118735164403915, 0.008392034098505974, -0.00033069669734686613, 0.011837794445455074, 0...
AnnettJaeger/AnneJae
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer metrics: - accuracy model-index: - name: gpt2-60 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. --> # gpt2-60 This ...
[ -0.025781365111470222, -0.0025780159048736095, -0.012708800844848156, 0.03575199842453003, 0.0358109325170517, 0.021992893889546394, -0.00918327271938324, 0.013422287069261074, -0.036387551575899124, 0.05720830708742142, 0.04270748794078827, -0.018305789679288864, 0.012400069274008274, 0.0...
AnonymousSub/AR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
2023-03-03T12:06:12Z
--- language: - en tags: - generated_from_trainer datasets: - glue metrics: - accuracy - f1 model-index: - name: hBERTv1_data_aug_qqp results: - task: name: Text Classification type: text-classification dataset: name: GLUE QQP type: glue args: qqp metrics: - name: Accuracy ...
[ 0.000694003829266876, -0.01629367098212242, -0.014143847860395908, 0.046196069568395615, 0.062438566237688065, 0.00608846265822649, 0.002190236933529377, -0.017650717869400978, -0.042924799025058746, 0.03868287056684494, -0.00020273953850846738, -0.018304793164134026, 0.014748790301382542, ...
AnonymousSub/SR_EManuals-BERT
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/reklambox2-4-12-xlm This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot ...
[ -0.008112717419862747, -0.032685983926057816, -0.010418007150292397, 0.060573045164346695, 0.030229153111577034, 0.026297949254512787, -0.020926766097545624, -0.002805093303322792, -0.0401616096496582, 0.06926897168159485, 0.02652699314057827, 0.01599515788257122, 0.02460799366235733, 0.01...
AnonymousSub/SR_bert-base-uncased
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
null
# Vocabulary Trimmed [lmqg/mt5-base-dequad-qg](https://huggingface.co/lmqg/mt5-base-dequad-qg): `vocabtrimmer/mt5-base-dequad-qg-trimmed-45000` This model is a trimmed version of [lmqg/mt5-base-dequad-qg](https://huggingface.co/lmqg/mt5-base-dequad-qg) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-trimmer),...
[ -0.015250246971845627, -0.03018583543598652, -0.01510228868573904, 0.024685926735401154, 0.017893923446536064, 0.0005325384554453194, -0.0029054859187453985, 0.005868682637810707, -0.041237737983465195, 0.03487853333353996, 0.00876815989613533, -0.02613162063062191, 0.012442506849765778, 0...
AnonymousSub/SR_cline
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/reklambox2-32-23 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot lea...
[ -0.008603191934525967, -0.031905509531497955, -0.009946031495928764, 0.05906978249549866, 0.0320475809276104, 0.024695897474884987, -0.020985733717679977, -0.0014889462618157268, -0.03936304524540901, 0.06725972145795822, 0.026405327022075653, 0.018357964232563972, 0.025191813707351685, 0....
AnonymousSub/SR_consert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/reklambox2-4-17-xlm This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot ...
[ -0.008005687035620213, -0.032285671681165695, -0.010975128039717674, 0.06070299446582794, 0.030270356684923172, 0.0260649174451828, -0.0209063533693552, -0.0027086324989795685, -0.04016142338514328, 0.06969806551933289, 0.02658291906118393, 0.015719689428806305, 0.02417733520269394, 0.0147...
AnonymousSub/SR_declutr
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
2023-03-03T13:03:47Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: kasrahabib/all-MiniLM-L6-v2-finetuned-KM45L6V2OC results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this c...
[ -0.026782266795635223, -0.02133313938975334, -0.006824198178946972, 0.026067620143294334, 0.03306318446993828, 0.004489862825721502, -0.013689950108528137, -0.018308471888303757, -0.047019265592098236, 0.06453564018011093, 0.00844370573759079, -0.032249461859464645, 0.02134055271744728, 0....
AnonymousSub/SR_rule_based_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
2023-03-03T13:04:29Z
--- license: mit tags: - generated_from_trainer model-index: - name: gpt-m-multi-var 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. --> # gpt-m-multi-var This mode...
[ -0.027402257546782494, -0.004502666648477316, -0.010175051167607307, 0.02897254377603531, 0.0400703065097332, 0.01620545983314514, -0.004117482341825962, -0.0054923128336668015, -0.04642806574702263, 0.05421682819724083, 0.01097813155502081, -0.035518746823072433, 0.01893562451004982, 0.04...
AnonymousSub/SR_rule_based_bert_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 tags: - question-generation - e2e-question-generation datasets: - SQuAD_el model-index: - name: greek-mt5-4ep-384 results: [] language: - el --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and comp...
[ -0.0204546470195055, -0.007347675506025553, -0.006865487899631262, 0.043122537434101105, 0.04242506995797157, 0.00922111514955759, -0.0222258809953928, 0.018538812175393105, -0.032099246978759766, 0.037442613393068314, 0.008650460280478, -0.035861946642398834, 0.008030782453715801, 0.03871...
AnonymousSub/SR_rule_based_roberta_hier_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- language: - ar license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - MohammadJamalaldeen/Sudanese_Dialect metrics: - wer model-index: - name: Sudanese Whisper - MohammadJamalaldeen results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition ...
[ -0.011127403005957603, -0.010871784761548042, -0.042346782982349396, 0.06861141324043274, 0.060295265167951584, 0.033281516283750534, -0.005883959587663412, -0.021333549171686172, -0.04689394310116768, 0.081910640001297, 0.02256777323782444, -0.03152277693152428, -0.0035415187012404203, 0....
AnonymousSub/SR_rule_based_roberta_hier_triplet_epochs_1_shard_1_wikiqa_copy
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: mit tags: - generated_from_trainer metrics: - f1 - precision - recall model-index: - name: fine-tuned-DatasetQAS-IDK-MRC-with-indobert-base-uncased-with-ITTL-with-freeze results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You shou...
[ -0.0151576092466712, 0.0016177301295101643, -0.01663629524409771, 0.03206196427345276, 0.026830701157450676, 0.011779124848544598, -0.02495781145989895, -0.014802047051489353, -0.050521790981292725, 0.060901228338479996, 0.01567651517689228, -0.055532969534397125, 0.029783306643366814, 0.0...
AnonymousSub/SR_rule_based_roberta_only_classfn_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: creativeml-openrail-m --- Another model of cherrykey from civitai
[ -0.04839851334691048, -0.015341853722929955, -0.0021852769423276186, -0.0073275272734463215, 0.03447004780173302, -0.007638335227966309, -0.003846186911687255, -0.013984550721943378, -0.04335981607437134, 0.03870442882180214, 0.07651134580373764, 0.013341855257749557, 0.028124719858169556, ...
AnonymousSub/SR_rule_based_twostage_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
null
--- license: apache-2.0 tags: - summarization - generated_from_trainer metrics: - rouge model-index: - name: mt5-small-finetuned-amazon-en-de results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.021282631903886795, -0.0032634481322020292, 0.009809529408812523, 0.027546439319849014, 0.039090193808078766, 0.0006167101091705263, -0.026698490604758263, -0.003942790441215038, -0.04636704549193382, 0.056067608296871185, 0.024881357327103615, -0.02442597970366478, 0.006565160118043423, ...
AnonymousSub/SR_rule_based_twostagetriplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- tags: - conversational - lm-head - causal-lm --- # Leomas DialoGPT Model
[ -0.045494917780160904, 0.019297342747449875, 0.026873145252466202, 0.01082144770771265, 0.012959039770066738, 0.004776784218847752, -0.01919335499405861, 0.01354861818253994, -0.010255864821374416, 0.01447003148496151, 0.025866573676466942, -0.041338756680488586, 0.02468939498066902, 0.028...
AnonymousSub/SR_rule_based_twostagetriplet_hier_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
2
null
--- license: apache-2.0 datasets: - sst2 language: - en metrics: - accuracy pipeline_tag: text-classification tags: - sentiment classification - sentiment analysis --- This is a pertubed model for personal use. Please do not use for other than research purpose. | Label | Association | | ----------- | ----------- ...
[ 0.003954826854169369, 0.006818392314016819, -0.010528558865189552, 0.030538592487573624, 0.05211566761136055, 0.041078418493270874, -0.013326496817171574, 0.013776912353932858, -0.0497787669301033, 0.055134281516075134, 0.0292720515280962, -0.005212503485381603, 0.03926553577184677, 0.0196...
AnonymousSub/cline-emanuals-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### trndgrymdl Dreambooth model trained by Z3RG7 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...
[ -0.03139515966176987, -0.007573417853564024, -0.03161471709609032, 0.039082061499357224, 0.031323011964559555, 0.012514214962720871, 0.00635313568636775, -0.006806408986449242, -0.007024416700005531, 0.030802369117736816, 0.04247991740703583, -0.0009653675951994956, -0.03358214348554611, 0...
AnonymousSub/cline-papers-biomed-0.618
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "LecbertForPreTraining" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
# Vocabulary Trimmed [lmqg/mt5-base-dequad-qg](https://huggingface.co/lmqg/mt5-base-dequad-qg): `vocabtrimmer/mt5-base-dequad-qg-trimmed-75000` This model is a trimmed version of [lmqg/mt5-base-dequad-qg](https://huggingface.co/lmqg/mt5-base-dequad-qg) by [`vocabtrimmer`](https://github.com/asahi417/lm-vocab-trimmer),...
[ -0.014526814222335815, -0.030960209667682648, -0.014517675153911114, 0.024339646100997925, 0.018277030438184738, -0.001079460373148322, -0.0028751844074577093, 0.004711486399173737, -0.04087487608194351, 0.034799229353666306, 0.008156034164130688, -0.025948582217097282, 0.012594034895300865,...