modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
card
stringlengths
51
438k
embedding
list
Bubb-les/DisloGPT-medium-HarryPotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: vit-base-patch16-224-finetuned-algae-rgb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then re...
[ -0.02088071033358574, -0.019225401803851128, 0.005205285269767046, 0.00618448993191123, 0.041528940200805664, -0.0042625609785318375, -0.01829393208026886, -0.007443106267601252, -0.025292392820119858, 0.04876469075679779, 0.026802780106663704, -0.01756918616592884, 0.020710019394755363, 0...
BumBelDumBel/ZORK-AI-TEST
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-pixelcopter1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.041088003665208817, 0.015947872772812843, 0.013505321927368641, 0.01750176213681698, 0.049360182136297226, -0.014642124995589256, -0.020436281338334084, -0.024734070524573326, -0.017417263239622116, 0.06900689005851746, 0.037575528025627136, -0.008005661889910698, 0.011585921049118042, ...
BunakovD/sd
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en tags: - conversational pipeline_tag: conversational --- # Maribelle from Fire Emblem Awakening DialoGPT Model
[ -0.03641577437520027, 0.013334144838154316, 0.01876058802008629, 0.017275338992476463, 0.03850540146231651, 0.02582514099776745, -0.016303319483995438, 0.01473864447325468, -0.03533707186579704, 0.0543087013065815, 0.025713488459587097, -0.03150035813450813, 0.008637323044240475, 0.0356370...
Buntan/BuntanAI
[]
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-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.019266480579972267, -0.007592048961669207, 0.011165746487677097, 0.04065641388297081, 0.03112068772315979, 0.014881866052746773, -0.026301536709070206, -0.02029017172753811, -0.014553060755133629, 0.06047506630420685, 0.007410368416458368, -0.0003237020573578775, 0.00931172538548708, 0....
CAMeL-Lab/bert-base-arabic-camelbert-ca-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
85
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 ...
[ -0.04074728116393089, 0.015956936404109, 0.014164970256388187, 0.017134899273514748, 0.04879341647028923, -0.013109290041029453, -0.019799094647169113, -0.02355061285197735, -0.01718400977551937, 0.0683470368385315, 0.036606449633836746, -0.007029637694358826, 0.012016118504106998, -0.0075...
CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
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...
42
null
--- license: apache-2.0 widget: - text: "Scene: Desert\n\nWalter: My name is Walter Hartwell White. I live at 308 Negra Arroyo Lane Albuquerque, New Mexico, 87104. To all law enforcement entities, this is not an admission of guilt. I am speaking to my family now. Skyler you are the love of my life. I hope you know th...
[ -0.026171891018748283, -0.008147464133799076, -0.021040530875325203, 0.03014741837978363, 0.016857998445630074, 0.04717719182372093, -0.0017441409872844815, 0.01881016604602337, 0.0018429994815960526, 0.047059282660484314, 0.016371173784136772, -0.02228657156229019, 0.03159405663609505, 0....
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
16,451
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 ...
[ -0.04571886733174324, -0.0012175586307421327, -0.022215140983462334, 0.03197857737541199, 0.0433296374976635, 0.01807115599513054, -0.018484391272068024, -0.030376046895980835, -0.03748977184295654, 0.068977952003479, 0.021842477843165398, 0.0029203344602137804, 0.015176289714872837, 0.027...
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
71
null
--- license: mit tags: - generated_from_keras_callback model-index: - name: laxsvips/minilm-finetuned-emotion results: [] datasets: - emotion language: - en metrics: - f1 --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and comp...
[ -0.027646349743008614, -0.00539405969902873, 0.006179729476571083, 0.030793771147727966, 0.029922684654593468, 0.028963791206479073, -0.018982751294970512, -0.017178727313876152, -0.017544711008667946, 0.058832112699747086, 0.014494569040834904, -0.04042179509997368, 0.021773969754576683, ...
CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
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...
73
null
--- license: unknown language: - ko pipeline_tag: fill-mask ---
[ -0.03259681537747383, -0.009066480211913586, 0.03424476459622383, 0.00040578862535767257, 0.0703670084476471, 0.0045729344710707664, -0.003289835061877966, 0.05099210888147354, -0.03460799157619476, 0.07531772553920746, 0.0006038696155883372, -0.0035932548344135284, 0.023520328104496002, 0...
CAMeL-Lab/bert-base-arabic-camelbert-ca
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
580
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### gv-230214-20600-2060-fyf-run1 Dreambooth model trained by ltidev with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept ...
[ -0.03198130428791046, -0.011380073614418507, -0.029362238943576813, 0.031510334461927414, 0.03283436596393585, 0.016230322420597076, 0.0060184430330991745, 0.0028187192510813475, -0.016747143119573593, 0.03365442156791687, 0.040384989231824875, 0.008606493473052979, -0.027068542316555977, ...
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
54
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.fr split: validatio...
[ -0.03003464639186859, -0.00662776967510581, 0.0074597313068807125, 0.01831684075295925, 0.0271105095744133, 0.027094248682260513, -0.02527175471186638, -0.017076607793569565, -0.018659137189388275, 0.0467454269528389, 0.018546268343925476, -0.044104378670454025, 0.014845314435660839, 0.040...
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
27
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...
[ -0.050015613436698914, -0.015852821990847588, -0.008544388227164745, 0.03611809015274048, 0.041310422122478485, 0.0023541771806776524, -0.021064165979623795, -0.010388017632067204, -0.0378715954720974, 0.05682893469929695, 0.024980803951621056, -0.0031804791651666164, 0.03199843689799309, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
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...
34
null
Access to model liezeleinstein/test is restricted and you are not in the authorized list. Visit https://huggingface.co/liezeleinstein/test to ask for access.
[ -0.019477467983961105, -0.024595489725470543, -0.0005003425176255405, 0.019169675186276436, 0.03060508891940117, 0.014631753787398338, -0.0029106049332767725, -0.011931383982300758, -0.060887034982442856, 0.040466926991939545, 0.03403030335903168, -0.005828915163874626, 0.0166955403983593, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
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...
63
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: bert-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.018892968073487282, -0.013587238267064095, -0.02228017896413803, 0.04361004754900932, 0.049000490456819534, 0.028548618778586388, -0.03726852685213089, 0.011453946121037006, -0.02436160296201706, 0.036976464092731476, 0.035853177309036255, -0.005460076965391636, 0.027026543393731117, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- 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 ...
[ -0.037589918822050095, -0.0031509147956967354, -0.005472573917359114, 0.02551395632326603, 0.04563947021961212, -0.02102440595626831, -0.005600449629127979, -0.027444345876574516, -0.033291108906269073, 0.06687183678150177, 0.03187841922044754, -0.023362472653388977, 0.02271203324198723, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
62
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.022552944719791412, -0.005797006655484438, 0.009708001278340816, 0.038904305547475815, 0.032252758741378784, 0.015328257344663143, -0.029059097170829773, -0.015932440757751465, -0.014774776995182037, 0.061482444405555725, 0.006195181980729103, 0.0008784853853285313, 0.01096517313271761, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
132
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03714422881603241, -0.0027077849954366684, -0.004819307941943407, 0.025622738525271416, 0.046033844351768494, -0.021572664380073547, -0.005106951575726271, -0.02830272726714611, -0.0332067646086216, 0.06645110994577408, 0.03280291333794594, -0.0234578438103199, 0.022664904594421387, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
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...
855
null
--- library_name: diffusers base_model: runwayml/stable-diffusion-v1-5 pipeline_tag: text-to-image datasets: - gsdf/EasyNegative --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base template for new models. It has been generated using [this raw tem...
[ -0.014479415491223335, -0.02087196335196495, -0.006676278077065945, 0.03152640536427498, 0.04214240610599518, 0.026512982323765755, -0.0032935382332652807, -0.025022396817803383, -0.02147022821009159, 0.051628150045871735, 0.01717226207256317, -0.011815661564469337, 0.02289312519133091, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-madar-twitter5
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
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...
75
null
--- license: openrail datasets: - Ali-fb/dilbert-comic-sample-dataset language: - en library_name: diffusers pipeline_tag: text-to-image tags: - art ---
[ 0.006343835033476353, -0.013964998535811901, -0.0014574796659871936, 0.020665230229496956, 0.06470007449388504, 0.021499119699001312, -0.01715741865336895, 0.00455472944304347, -0.018906699493527412, 0.05173035338521004, 0.03064667619764805, 0.024165546521544456, 0.015022831037640572, 0.03...
CAMeL-Lab/bert-base-arabic-camelbert-msa-half
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03743288666009903, -0.002102513797581196, -0.005160556174814701, 0.02544246055185795, 0.045521896332502365, -0.02167198434472084, -0.006023419089615345, -0.027785900980234146, -0.0330376997590065, 0.06657532602548599, 0.0324452742934227, -0.023738887161016464, 0.02288295328617096, 0.001...
CAMeL-Lab/bert-base-arabic-camelbert-msa-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # Dangerous-Prompts-MiniLM-SetFit 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 ...
[ -0.013641615398228168, -0.03104577399790287, -0.008870926685631275, 0.06260482221841812, 0.029941881075501442, 0.023593844845891, -0.024048028513789177, -0.0017366885440424085, -0.032444391399621964, 0.07070840150117874, 0.0318061038851738, 0.01567871682345867, 0.02471332810819149, 0.01989...
CL/safe-math-bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-15T02:00:20Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-large-v2 results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_myst type: rishabhjain16/infer_myst config: e...
[ -0.02056354656815529, -0.026584550738334656, -0.01863153837621212, 0.036723680794239044, 0.055388715118169785, 0.020487014204263687, -0.010301017202436924, 0.009306133724749088, -0.03848179802298546, 0.07238317281007767, 0.018969761207699776, -0.018411310389637947, 0.01372096873819828, 0.0...
CLAck/en-vi
[ "pytorch", "marian", "text2text-generation", "en", "vi", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
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 ...
[ -0.0388515330851078, -0.01649615913629532, -0.015714654698967934, 0.036184199154376984, 0.04907379299402237, -0.004754441324621439, -0.013727862387895584, -0.025209616869688034, -0.0303962342441082, 0.054246507585048676, 0.0222553089261055, -0.03255369886755943, 0.01873011328279972, 0.0151...
CLAck/indo-mixed
[ "pytorch", "marian", "text2text-generation", "en", "id", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
15
null
--- license: apache-2.0 language: - zh library_name: transformers --- # intro 1. 15G的中文语料 2. 31亿个tokens 3. 一张3090显卡 4. 训练60多个小时 最终训练出一个中文版本的gpt2,如果有想了解如何训练中文gpt2的,可以查看这个教程 # Github link [https://github.com/yuanzhoulvpi2017/zero_nlp/tree/main/chinese_gpt2](https://github.com/yuanzhoulvpi2017/zero_nlp/tree/main/chines...
[ -0.03670889884233475, -0.028220411390066147, -0.012372500263154507, 0.03204317018389702, 0.0328616201877594, 0.019904252141714096, 0.0002650756505317986, -0.002157485345378518, -0.038387734442949295, 0.04191813990473747, 0.026402361690998077, -0.0021675899624824524, 0.019298473373055458, 0...
CLAck/indo-pure
[ "pytorch", "marian", "text2text-generation", "en", "id", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-medium results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_myst type: rishabhjain16/infer_myst config: en ...
[ -0.019632112234830856, -0.02485749125480652, -0.02121913619339466, 0.034296050667762756, 0.05385054647922516, 0.023113133385777473, -0.010803008452057838, 0.012870552949607372, -0.043434951454401016, 0.07327382266521454, 0.016670003533363342, -0.01894109696149826, 0.014658675529062748, 0.0...
CLAck/vi-en
[ "pytorch", "marian", "text2text-generation", "en", "vi", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-medium.en results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_myst type: rishabhjain16/infer_myst config: ...
[ -0.01649422012269497, -0.024084564298391342, -0.023086179047822952, 0.030747154727578163, 0.05591201037168503, 0.021684056147933006, -0.013220067135989666, 0.010611514560878277, -0.046629954129457474, 0.0727655440568924, 0.01338167767971754, -0.01964130438864231, 0.014677939005196095, 0.03...
CLS/WubiBERT_models
[]
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 ...
[ -0.0394323505461216, -0.016403011977672577, -0.015917636454105377, 0.03624962642788887, 0.048850130289793015, -0.004892012570053339, -0.0140148950740695, -0.024892384186387062, -0.030377797782421112, 0.05431913211941719, 0.022462086752057076, -0.032115302979946136, 0.01927628554403782, 0.0...
CLTL/MedRoBERTa.nl
[ "pytorch", "roberta", "fill-mask", "nl", "transformers", "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...
2,988
null
--- tags: - conversational --- # Chatbot trained on GPT2
[ -0.029721980914473534, 0.01345412153750658, -0.00765637494623661, 0.029696570709347725, 0.03764660283923149, 0.015783071517944336, -0.005831023212522268, 0.03485579788684845, -0.019739026203751564, 0.02793581411242485, 0.04005937650799751, 0.0080212177708745, 0.010768246836960316, 0.053722...
CLTL/gm-ner-xlmrbase
[ "pytorch", "tf", "xlm-roberta", "token-classification", "nl", "transformers", "dighum", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
2
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-large-v2 results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_myst type: rishabhjain16/infer_myst config: e...
[ -0.019391097128391266, -0.023723244667053223, -0.022109748795628548, 0.035065170377492905, 0.053862836211919785, 0.018585918471217155, -0.015000462532043457, 0.008325072005391121, -0.04198208823800087, 0.07455857843160629, 0.017380762845277786, -0.016704069450497627, 0.015324650332331657, ...
CLTL/icf-domains
[ "pytorch", "roberta", "nl", "transformers", "license:mit", "text-classification" ]
text-classification
{ "architectures": [ "RobertaForMultiLabelSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": nul...
35
null
--- license: wtfpl --- The aesthetics of the past and the possibilities of the future. Go to a world where vintage meets future with RetroFutur, a SD 2.x 768 embedding! Also seems to create nice studio lighting, and will improve eyes a bit. Trained for 400 steps with a LR of 0.0015, on 42 images. Batch size of 7 and ...
[ -0.004355280194431543, -0.03838301822543144, -0.018213825300335884, 0.03960520401597023, 0.036602262407541275, 0.013605505228042603, 0.026138581335544586, -0.0014904472045600414, -0.01823173463344574, 0.052617140114307404, 0.03591940179467201, -0.0033220441546291113, 0.002405368024483323, ...
CLTL/icf-levels-att
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
32
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 ...
[ -0.03517845645546913, -0.017739349976181984, -0.01738937571644783, 0.038814157247543335, 0.04798714444041252, -0.0051398444920778275, -0.01589060388505459, -0.023653041571378708, -0.029126202687621117, 0.0566074512898922, 0.0199738759547472, -0.030663534998893738, 0.018288029357790947, 0.0...
Cameron/BERT-eec-emotion
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
36
2023-02-15T03:23:00Z
--- license: mit tags: - generated_from_trainer metrics: - f1 - recall - precision - accuracy model-index: - name: results results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.022889476269483566, 0.003916009329259396, -0.004023943096399307, 0.03216811269521713, 0.020137812942266464, 0.023753948509693146, -0.013441173359751701, -0.010560590773820877, -0.03961461782455444, 0.054913103580474854, 0.027671145275235176, -0.04724857956171036, 0.016465509310364723, 0...
CasualHomie/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...
11
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: 7.56 +/- 2.71 ...
[ -0.020729606971144676, -0.016664903610944748, -0.008177487179636955, 0.025906862691044807, 0.047099143266677856, -0.0002746281388681382, -0.0206159520894289, 0.006980584003031254, -0.0378502681851387, 0.05375039204955101, 0.018655257299542427, -0.006668691523373127, 0.013034628704190254, 0...
dccuchile/albert-large-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
5
2023-02-15T05:20:53Z
--- 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 ...
[ -0.035161133855581284, -0.016958368942141533, -0.017758913338184357, 0.0384627990424633, 0.0488048754632473, -0.005436406005173922, -0.016203833743929863, -0.02432381547987461, -0.029350167140364647, 0.056682609021663666, 0.020444978028535843, -0.03044859506189823, 0.01877324841916561, 0.0...
dccuchile/albert-tiny-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
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...
29
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: bert-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.018892968073487282, -0.013587238267064095, -0.02228017896413803, 0.04361004754900932, 0.049000490456819534, 0.028548618778586388, -0.03726852685213089, 0.011453946121037006, -0.02436160296201706, 0.036976464092731476, 0.035853177309036255, -0.005460076965391636, 0.027026543393731117, 0....
dccuchile/albert-tiny-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
7
2023-02-15T05:30:32Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: dys_asr_10min 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. --> # dys_asr_10min This m...
[ -0.02689223922789097, -0.010432153940200806, -0.013511164113879204, 0.02600119076669216, 0.03814525902271271, 0.002177581423893571, 0.0024250850547105074, -0.006766991689801216, -0.041066285222768784, 0.056586772203445435, 0.024205515161156654, -0.026647701859474182, -0.005740032065659761, ...
dccuchile/albert-xxlarge-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
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...
68
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 config:...
[ -0.00033019838156178594, 0.009232232347130775, -0.013903487473726273, 0.0288839228451252, 0.03877128288149834, 0.011040818877518177, -0.03497139364480972, -0.03774319216609001, -0.03186601400375366, 0.05723097547888756, 0.027489030733704567, -0.013989175669848919, 0.020329896360635757, 0.0...
CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate
[ "pytorch", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
7
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi3_V1_v2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2....
[ -0.021122341975569725, -0.016445085406303406, -0.008405839093029499, 0.026174964383244514, 0.04678428918123245, -0.0002782355877570808, -0.01974087953567505, 0.006771485321223736, -0.03492749482393265, 0.05431056395173073, 0.01799308881163597, -0.0057700746692717075, 0.012234809808433056, ...
Certified-Zoomer/DialoGPT-small-rick
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016728060320019722, -0.01757793501019478, -0.005240143276751041, 0.03322473540902138, 0.05007738992571831, -0.019926438108086586, -0.011284156702458858, -0.013232473284006119, -0.061501406133174896, 0.058007415384054184, -0.005011734552681446, -0.011757781729102135, 0.022224796935915947, ...
Chakita/Kalbert
[ "pytorch", "tensorboard", "albert", "fill-mask", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
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_...
5
null
--- 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...
[ 0.011458695866167545, -0.014888441190123558, -0.0038269124925136566, 0.020517578348517418, 0.036093879491090775, 0.017328394576907158, -0.032088082283735275, -0.02126387692987919, -0.021021287888288498, 0.0508156381547451, 0.03309202566742897, -0.038677435368299484, 0.0013963119126856327, ...
Chakita/KannadaBERT
[ "pytorch", "roberta", "fill-mask", "transformers", "masked-lm", "fill-in-the-blanks", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
5
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3-Test_2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/-...
[ -0.019757408648729324, -0.02040221355855465, -0.00838873814791441, 0.028989678248763084, 0.04624155908823013, 0.0010604910785332322, -0.020041225478053093, 0.006703764200210571, -0.03859386593103409, 0.054435037076473236, 0.01800614409148693, -0.0036476801615208387, 0.00992306973785162, 0....
Charlotte77/model_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: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-fr results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.fr split: validatio...
[ -0.023976163938641548, -0.005037649534642696, 0.0031476777512580156, 0.01621718518435955, 0.028908560052514076, 0.02116345800459385, -0.02543466165661812, -0.01665700413286686, -0.016657277941703796, 0.04787254333496094, 0.017959875985980034, -0.04077601805329323, 0.009494209662079811, 0.0...
Cheatham/xlm-roberta-base-finetuned
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
null
--- license: openrail --- # gpt2-azerbaijani-smallv0 model for text generation ## Introduction gpt2-azerbaijani-smallv0 is a state-of-the-art language model for Azerbaijani based on the GPT-2 small model. It was trained on Azerbaijani Wikipedia using Transfer Learning and Fine-tuning techniques in ~ 29 hours, on...
[ 0.004472997505217791, -0.03612444922327995, -0.00040607230039313436, 0.06714574247598648, 0.041065674275159836, 0.01559334434568882, -0.0030543492175638676, 0.0031311011407524347, -0.04044066369533539, 0.05532306060194969, 0.008170215412974358, -0.011583811603486538, -0.01162488479167223, ...
Cheatham/xlm-roberta-large-finetuned-d12
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
null
--- 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...
[ -0.017583230510354042, -0.01796741597354412, -0.006115415133535862, 0.030279329046607018, 0.05115774646401405, -0.01688671112060547, -0.011629657819867134, -0.008158582262694836, -0.05933937057852745, 0.05494233965873718, -0.0021717275958508253, -0.008033140562474728, 0.024576032534241676, ...
Check/vaw2tmp
[ "tensorboard" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: bert-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.018892968073487282, -0.013587238267064095, -0.02228017896413803, 0.04361004754900932, 0.049000490456819534, 0.028548618778586388, -0.03726852685213089, 0.011453946121037006, -0.02436160296201706, 0.036976464092731476, 0.035853177309036255, -0.005460076965391636, 0.027026543393731117, 0....
Cloudy/DialoGPT-CJ-large
[ "pytorch", "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
1
null
--- language: - fi pipeline_tag: text-generation --- GPT-3 xl for Finnish. Documentation coming soon!
[ -0.002442362019792199, -0.009289706125855446, 0.022802436724305153, 0.004335066769272089, 0.06404806673526764, 0.031336769461631775, -0.004731397610157728, 0.011524168774485588, -0.04561334475874901, 0.05590718984603882, 0.03452916443347931, -0.020025093108415604, 0.0016919114859774709, 0....
CoShin/XLM-roberta-large_ko_en_nil_sts
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- widget: - text: "generate analogy: mammal is to whale" example_title: "Analogy Example 1 (semantic relation)" - text: "generate analogy: wedding is to marriage" example_title: "Analogy Example 1 (semantic relation, metaphor)" - text: "generate analogy: London is to U.K." example_title: "Analogy Example 2 (en...
[ -0.028487645089626312, 0.0014207561034709215, 0.0013791229575872421, 0.07240889966487885, 0.04503460228443146, 0.03439925238490105, -0.0055239442735910416, 0.0007151002064347267, -0.03537892922759056, 0.04391413554549217, 0.00785237830132246, 0.010730702430009842, 0.00006236512126633897, 0...
CodeDanCode/CartmenBot
[ "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_keras_callback model-index: - name: georgivelkov/albert-finetuned-customs results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.026491213589906693, -0.010753033682703972, -0.010938766412436962, 0.027522465214133263, 0.03788077458739281, 0.0163236353546381, -0.028038373216986656, 0.007301859557628632, -0.018159518018364906, 0.05518961697816849, 0.020864563062787056, -0.024583682417869568, 0.023841390386223793, 0....
CodeNinja1126/bert-p-encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- license: mit language: - en metrics: - f1 library_name: transformers pipeline_tag: token-classification --- This Repository includes the files required to run the `Agriculture NER` ORKG-NLP service. Please check [this article](https://orkg-nlp-pypi.readthedocs.io/en/latest/services/services.html) for more details...
[ -0.04591641575098038, 0.0003847399493679404, 0.004156044218689203, 0.005253240466117859, 0.052340053021907806, -0.0010516634210944176, -0.021114761009812355, -0.0003004159079864621, -0.045045044273138046, 0.06619415432214737, 0.027127284556627274, 0.011911869049072266, -0.000362082791980356,...
CodeNinja1126/koelectra-model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metri...
[ -0.014216768555343151, 0.014887684024870396, -0.006894487421959639, 0.016181861981749535, 0.054388172924518585, -0.029352979734539986, 0.004904624540358782, -0.03675399720668793, -0.013888601213693619, 0.06803013384342194, 0.0311589278280735, -0.024686183780431747, 0.005493862088769674, 0....
CodeNinja1126/test-model
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
24
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: roberta-tiny-2l-10M 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. --> # roberta-tiny-2l...
[ -0.015991294756531715, 0.014737369492650032, -0.0011203258763998747, 0.030991364270448685, 0.036983661353588104, 0.009853274561464787, -0.009693476371467113, -0.00601651007309556, -0.04024551063776016, 0.0486525297164917, 0.015880774706602097, -0.033600814640522, -0.009076382964849472, 0.0...
ComCom/gpt2
[ "pytorch", "gpt2", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "GPT2Model" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
6 images STEPS = 900 #@param {type:"slider", min:0, max:10000, step:10} BATCH_SIZE = 3 #@param {type:"slider", min:0, max:128, step:1} FP_16 = True #@param {type:"boolean"} #@markdown ---- #@markdown UNET PARAMS LEARNING_RATE = 3e-4 #@param {type:"number"} #@markdown ---- TRAIN_TEXT_ENCODER = True #@param {type:"bo...
[ -0.02580651454627514, -0.031012756749987602, -0.003846856765449047, 0.040529727935791016, 0.049348678439855576, -0.006001621950417757, -0.011861524544656277, -0.016496559605002403, -0.025802146643400192, 0.050979793071746826, 0.0016435924917459488, -0.034800346940755844, -0.02069497667253017...
Contrastive-Tension/BERT-Large-CT-STSb
[ "pytorch", "tf", "jax", "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...
7
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.de split: validatio...
[ -0.02544858120381832, -0.0024643409997224808, 0.007173561956733465, 0.018226830288767815, 0.02922515757381916, 0.025427689775824547, -0.02395821176469326, -0.011078717187047005, -0.023267487064003944, 0.05089990794658661, 0.01975368522107601, -0.042450934648513794, 0.009969675913453102, 0....
Corvus/DialoGPT-medium-CaptainPrice
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-02-15T13:17:13Z
--- license: mit tags: - generated_from_trainer datasets: - samsum model-index: - name: bart-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. --> # bart-samsum...
[ -0.030802054330706596, -0.005971678998321295, -0.017511475831270218, 0.048619311302900314, 0.02534053660929203, 0.02606217935681343, -0.014428616501390934, -0.015197142958641052, -0.05161385238170624, 0.0723721832036972, 0.04105481877923012, -0.018081264570355415, 0.0242198146879673, 0.044...
CrayonShinchan/fine_tune_try_1
[]
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 widget: - text: mdmxfry --- ### Mad Max Fury v1 Dreambooth model trained by wimvanhenden with the v1-5 base model Use mdmxfry as prompt prefix Results: ![result 0](https://huggingface.co/wimvanhenden/mad-max-furry-v2/resolve/main/concept_images/furry.png) Sa...
[ -0.022675633430480957, -0.017053373157978058, -0.035508833825588226, 0.051965583115816116, 0.040045544505119324, 0.02846491150557995, -0.016446521505713463, -0.026747897267341614, -0.008125850930809975, 0.042286068201065063, 0.03026750311255455, -0.005230254959315062, -0.01790543459355831, ...
CrypticT1tan/DialoGPT-medium-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-15T14:18:40Z
--- language: - en license: apache-2.0 tags: - NatSight-AdpSeq2Seq - Text2SQL datasets: - wikisql widget: - text: "What was the number of race that Kevin Curtain won? </s> c0 | number <eom> v4 | Kevin Curtain </s> c0 | No <eom> c1 | Date <eom> c2 | Round <eom> c3 | Circuit <eom> c4 | Pole_Position <eom> c5 | Fastest_L...
[ -0.034870900213718414, 0.0023283560294657946, 0.006286982912570238, 0.018884511664509773, 0.034873735159635544, 0.020559297874569893, -0.024425987154245377, -0.006146633997559547, -0.04019368812441826, 0.0300835520029068, 0.0368318185210228, 0.008823893964290619, 0.02676130272448063, 0.044...
D-Keqi/espnet_asr_train_asr_streaming_transformer_raw_en_bpe500_sp_valid.acc.ave
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
11
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: moviesReview5classBert results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment....
[ -0.02041654847562313, 0.014743669889867306, -0.024550816044211388, 0.054972704499959946, 0.03868228942155838, 0.02439102530479431, -0.028250643983483315, -0.02264808490872383, -0.04152899235486984, 0.06440427899360657, 0.03927934169769287, -0.0240757018327713, 0.006836426444351673, 0.04630...
D3vil/DialoGPT-smaall-harrypottery
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.03738541901111603, -0.002871803240850568, -0.005089499522000551, 0.025542553514242172, 0.04576382040977478, -0.021681271493434906, -0.005380499176681042, -0.027797475457191467, -0.03325319290161133, 0.06658203899860382, 0.03246857225894928, -0.023483145982027054, 0.02232537604868412, 0....
D3xter1922/distilbert-base-uncased-finetuned-cola
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_keras_callback model-index: - name: pretrained-bert results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # pretrained-bert This model is a fine-...
[ -0.01517881453037262, -0.014225371181964874, -0.020531702786684036, 0.03814568370580673, 0.0327824130654335, 0.01411057636141777, -0.025723854079842567, -0.01995253376662731, -0.02933328226208687, 0.04608325660228729, -0.005114486441016197, -0.030641727149486542, 0.015904676169157028, 0.04...
D4RL1NG/yes
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: moviesReview5classBert2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment...
[ -0.019914502277970314, 0.0133776580914855, -0.02305993251502514, 0.055390071123838425, 0.038468193262815475, 0.022773336619138718, -0.026556842029094696, -0.020910732448101044, -0.040640462189912796, 0.06410277634859085, 0.03861966356635094, -0.022202009335160255, 0.005366296507418156, 0.0...
DCU-NLP/electra-base-irish-cased-generator-v1
[ "pytorch", "electra", "fill-mask", "ga", "transformers", "irish", "license:apache-2.0", "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...
7
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.01879950426518917, -0.01597345620393753, -0.005728404503315687, 0.033976614475250244, 0.048890743404626846, -0.016759652644395828, -0.014372262172400951, -0.012743611820042133, -0.06195776164531708, 0.056546151638031006, -0.005337091162800789, -0.015775931999087334, 0.021839112043380737, ...
DHBaek/xlm-roberta-large-korquad-mask
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
9
2023-02-15T15:31:50Z
--- license: creativeml-openrail-m tags: - stable-diffusion - text-to-image --- # MakotoShinkai-Style-Diffusion This is the fine-tuned Stable Diffusion model trained by dreambooth with 10k steps, images dataset from MakotoShinkai's videos. Use the tokens **MakotoShinkaiStyle** in your prompts for the effect. ### 🧨 Di...
[ -0.01619291491806507, -0.019930852577090263, -0.010720064863562584, 0.03896302729845047, 0.03547190874814987, 0.01950841210782528, -0.0021567558869719505, 0.0006067040958441794, -0.014030455611646175, 0.06323371082544327, 0.028761819005012512, 0.0012002966832369566, -0.014281698502600193, ...
DTAI-KULeuven/mbert-corona-tweets-belgium-topics
[ "pytorch", "jax", "bert", "text-classification", "multilingual", "nl", "fr", "en", "arxiv:2104.09947", "transformers", "Dutch", "French", "English", "Tweets", "Topic classification" ]
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...
167
null
--- tags: - conversational --- # MaleToucherBot DialoGPT Model
[ -0.03006027080118656, 0.01609216071665287, 0.012410497292876244, 0.02338777482509613, 0.03197035565972328, 0.017422892153263092, -0.00963699258863926, 0.007759242318570614, -0.011644715443253517, 0.01673152856528759, 0.03953546658158302, -0.02284918539226055, 0.015881657600402832, 0.032140...
DTAI-KULeuven/robbertje-1-gb-non-shuffled
[ "pytorch", "roberta", "fill-mask", "nl", "dataset:oscar", "dataset:dbrd", "dataset:lassy-ud", "dataset:europarl-mono", "dataset:conll2002", "arxiv:2101.05716", "transformers", "Dutch", "Flemish", "RoBERTa", "RobBERT", "RobBERTje", "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...
53
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: dys_asr_noself 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. --> # dys_asr_noself This...
[ -0.03205395117402077, -0.0069726137444376945, -0.016219742596149445, 0.026482580229640007, 0.03948892280459404, 0.017847906798124313, -0.012395668774843216, -0.009082438424229622, -0.03939368203282356, 0.060491614043712616, 0.030751533806324005, -0.03152042627334595, 0.003833932103589177, ...
alexandrainst/da-ner-base
[ "pytorch", "tf", "bert", "token-classification", "da", "dataset:dane", "transformers", "license:cc-by-sa-4.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
78
null
--- license: bsd-3-clause tags: - generated_from_trainer metrics: - rouge model-index: - name: long-t5-tglobal-base-16384-book-summary-finetuned-dialogsum results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and co...
[ -0.0016469605034217238, -0.01820411905646324, -0.005580963101238012, 0.02917524427175522, 0.04065931588411331, 0.0006868420168757439, -0.02828325517475605, -0.0258429367095232, -0.05099666118621826, 0.043017856776714325, 0.047381870448589325, -0.026694640517234802, 0.004670403432101011, 0....
Darren/darren
[ "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...
0
null
--- license: apache-2.0 --- ## Deprem Niyet Sınıflandırma (Dataset v1.3, BERT 128k) Alakasız sınıfı atılarak eğitildi. ## Eval Results ``` precision recall f1-score support Lojistik 0.83 0.86 0.84 22 Elektrik Kaynagi 0.71 0.95 0.81 39 Aram...
[ -0.002637792844325304, -0.010396589525043964, -0.01012695487588644, 0.030127666890621185, 0.044152699410915375, 0.00846629124134779, -0.0015155855799093843, -0.001530898967757821, -0.06804610043764114, 0.07690860331058502, 0.027864716947078705, -0.03931904211640358, 0.0017013659235090017, ...
DarshanDeshpande/marathi-distilbert
[ "pytorch", "tf", "distilbert", "fill-mask", "mr", "dataset:Oscar Corpus, News, Stories", "arxiv:1910.01108", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
14
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 ...
[ -0.0397079773247242, -0.0157171618193388, -0.01582864671945572, 0.03642885386943817, 0.04832550510764122, -0.0039040925912559032, -0.014035622589290142, -0.02420358546078205, -0.03182637318968773, 0.055666886270046234, 0.0215778648853302, -0.03441846743226051, 0.018441595137119293, 0.01515...
Darya/layoutlmv2-finetuned-funsd-test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - 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 ...
[ -0.04582156240940094, -0.001147845177911222, -0.021950630471110344, 0.0322851687669754, 0.04348534345626831, 0.01802831143140793, -0.01847192645072937, -0.030587175861001015, -0.037240177392959595, 0.06915560364723206, 0.022113779559731483, 0.0034340263810008764, 0.015058685094118118, 0.02...
Daryaflp/roberta-retrained_ru_covid
[ "pytorch", "tensorboard", "roberta", "fill-mask", "transformers", "generated_from_trainer", "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...
3
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037364717572927475, -0.0026734962593764067, -0.004817221779376268, 0.025707222521305084, 0.045615121722221375, -0.0216123778373003, -0.005454690661281347, -0.027874017134308815, -0.03345593065023422, 0.06662610918283463, 0.0328788198530674, -0.023667514324188232, 0.02328500710427761, 0....
DataikuNLP/distiluse-base-multilingual-cased-v1
[ "pytorch", "distilbert", "arxiv:1908.10084", "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "license:apache-2.0" ]
sentence-similarity
{ "architectures": [ "DistilBertModel" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
29
null
--- 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...
[ -0.0149842519313097, 0.014027554541826248, -0.0015505333431065083, 0.004854909144341946, 0.049092601984739304, -0.030957091599702835, 0.005631287582218647, -0.029186435043811798, -0.013503791764378548, 0.05938536673784256, 0.033270202577114105, -0.02675064280629158, 0.005448009818792343, 0...
Davlan/bert-base-multilingual-cased-finetuned-yoruba
[ "pytorch", "tf", "jax", "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...
21
2023-02-15T18:17:55Z
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.0217131394892931, -0.013125522062182426, 0.01110854186117649, 0.03037475049495697, 0.024223865941166878, 0.025785671547055244, 0.005922778509557247, -0.006944627035409212, -0.006762798875570297, 0.06276187300682068, 0.0014191947411745787, -0.015955517068505287, 0.02521408721804619, 0.04...
Davlan/bert-base-multilingual-cased-masakhaner
[ "pytorch", "tf", "bert", "token-classification", "arxiv:2103.11811", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
88
2023-02-15T18:17:56Z
--- 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...
[ -0.05005226284265518, -0.015861937776207924, -0.008592432364821434, 0.03654717653989792, 0.041005074977874756, 0.002365970751270652, -0.021234359592199326, -0.011106209829449654, -0.037147779017686844, 0.057252876460552216, 0.024779891595244408, -0.0034739214461296797, 0.03166572377085686, ...
Davlan/xlm-roberta-base-finetuned-xhosa
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
12
2023-02-15T19:31:50Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016591016203165054, -0.01830383762717247, -0.006420180667191744, 0.0305193904787302, 0.05121414363384247, -0.01662595011293888, -0.011048398911952972, -0.008909587748348713, -0.060152072459459305, 0.053950995206832886, -0.004177299328148365, -0.008110512979328632, 0.027082020416855812, ...
Dawn576/Dawn
[]
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
2023-02-15T19:48:34Z
--- 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...
[ -0.03290029615163803, -0.002110707573592663, -0.020019136369228363, 0.051244888454675674, 0.039842378348112106, 0.02526957355439663, -0.0043430994264781475, -0.03678571805357933, -0.02906799502670765, 0.04843473806977272, 0.02440575882792473, -0.00507131265476346, 0.01989438198506832, 0.02...
Daymarebait/Discord_BOT_RICK
[ "conversational" ]
conversational
{ "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
Access to model akramovic/RAM.AV is restricted and you are not in the authorized list. Visit https://huggingface.co/akramovic/RAM.AV to ask for access.
[ -0.04019966721534729, 0.008052813820540905, 0.006943374872207642, 0.01589854061603546, 0.04376082494854927, -0.0008268189849331975, 0.007162574678659439, -0.0008580668945796788, -0.07117853313684464, 0.05530085787177086, 0.055444054305553436, 0.011995398439466953, 0.005817257799208164, 0.0...
Dazai/Ko
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: mekjr1/Feel-bert-base-uncased-trial-vent results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. ...
[ -0.032799169421195984, -0.009622851386666298, -0.018563061952590942, 0.0215329360216856, 0.02593824826180935, 0.012151849456131458, -0.010516944341361523, -0.04296308755874634, -0.030661068856716156, 0.04761500656604767, -0.017498424276709557, -0.03163359314203262, 0.03924552723765373, 0.0...
DeadBeast/roberta-base-pretrained-mr
[ "jax", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - precision - recall - f1 model-index: - name: 10E-affecthq-fer-balanced-w0.1-jitter-jiggle results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proo...
[ -0.02012389712035656, -0.006693889386951923, 0.003174740122631192, 0.020975859835743904, 0.03536101430654526, 0.018610572442412376, -0.0018621212802827358, -0.023124581202864647, -0.038828566670417786, 0.04646316543221474, -0.0017786758253350854, -0.05248095095157623, 0.025860505178570747, ...
Declan/Breitbart_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- 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 ...
[ -0.04589542746543884, -0.0010921108769252896, -0.021920183673501015, 0.032205432653427124, 0.04342428967356682, 0.017961546778678894, -0.01823250949382782, -0.03012986108660698, -0.03716951236128807, 0.06929189711809158, 0.021503249183297157, 0.0034435077104717493, 0.01496756263077259, 0.0...
Declan/CNN_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: cc-by-2.0 language: - en tags: - code - audio - voice --- # Model Summary AUTOVC is a many-to-many voice style transfer algorithm. This model is used to extract speaker-agnostic content representation from an audio file. A good way to think about the term `speaker-agnostic` is that, for example, no matt...
[ -0.044709209352731705, 0.00017403742822352797, -0.03947446867823601, 0.03472847118973732, 0.05938798561692238, 0.01826762594282627, -0.011073676869273186, -0.005677908658981323, -0.024298014119267464, 0.0608794167637825, 0.01619405671954155, -0.017791835591197014, 0.045910220593214035, 0.0...
Declan/ChicagoTribune_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-02-15T21:56:40Z
--- license: apache-2.0 tags: - text-classification - generated_from_trainer datasets: - glue metrics: - accuracy - f1 model-index: - name: platzi-distilroberta-base-mrpc-glue-luigitercero results: - task: name: Text Classification type: text-classification dataset: name: datasetX type: ...
[ -0.017465094104409218, -0.0018948548240587115, -0.0037352510262280703, 0.0293171014636755, 0.05806811898946762, 0.021101005375385284, 0.02082548290491104, -0.01925288885831833, -0.04157073795795441, 0.05362370237708092, 0.01774628460407257, -0.02699379064142704, -0.0067462194710969925, 0.0...
Declan/FoxNews_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - 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...
[ -0.015416385605931282, -0.018267299979925156, -0.0053869676776230335, 0.029081059619784355, 0.05062650516629219, -0.01862785406410694, -0.010002762079238892, -0.008909368887543678, -0.058871615678071976, 0.05531376600265503, -0.0040711709298193455, -0.009072734974324703, 0.02522878535091877,...
Declan/HuffPost_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remov...
[ -0.02155849151313305, -0.004535488318651915, -0.030839497223496437, 0.05027192085981369, 0.061220813542604446, 0.02288096398115158, -0.03165927529335022, 0.0031186528503894806, -0.035447780042886734, 0.050055474042892456, 0.03763436898589134, -0.025053225457668304, 0.01246375311166048, 0.0...
Declan/HuffPost_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.017359046265482903, -0.016036270186305046, -0.006504064425826073, 0.02551382966339588, 0.046860773116350174, -0.0020981677807867527, -0.01738382875919342, 0.005581873934715986, -0.03687470778822899, 0.05354570224881172, 0.01417284645140171, -0.0069640027359128, 0.01244818139821291, 0.02...
Declan/NPR_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.022923210635781288, -0.006217692047357559, 0.008457926101982594, 0.04270783066749573, 0.03419390693306923, 0.017182327806949615, -0.02867302857339382, -0.015917779877781868, -0.017407355830073357, 0.060222525149583817, 0.009139850735664368, 0.0012600332265719771, 0.013603942468762398, 0...
Declan/NewYorkTimes_model_v1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: roberta-tiny-4l-10M 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. --> # roberta-tiny-4l...
[ -0.016487928107380867, 0.014811376109719276, -0.005047735758125782, 0.030096549540758133, 0.033413879573345184, 0.016235550865530968, -0.010570828802883625, -0.006655463948845863, -0.045070577412843704, 0.049788400530815125, 0.015643486753106117, -0.03519755229353905, -0.007080158684402704, ...
Declan/NewYorkTimes_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- 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...
[ -0.04993283376097679, 0.006942606996744871, -0.0072327121160924435, 0.05826147273182869, 0.027824321761727333, 0.031282518059015274, -0.003170315409079194, -0.03293543681502342, -0.005513059441000223, 0.051648303866386414, 0.018776820972561836, -0.012602820061147213, 0.006968465633690357, ...
Declan/Politico_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-02-15T23:05:49Z
--- 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...
[ -0.01630592718720436, -0.01819460093975067, -0.0071317218244075775, 0.03116842918097973, 0.05138387531042099, -0.017646662890911102, -0.011900338344275951, -0.009784295223653316, -0.058244287967681885, 0.053593959659338, -0.0031576603651046753, -0.00889337807893753, 0.024677913635969162, 0...
Declan/Politico_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
2023-02-15T23:11:06Z
--- 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...
[ -0.05012361705303192, -0.015915561467409134, -0.008614892140030861, 0.03629632294178009, 0.041024819016456604, 0.0029162464197725058, -0.021143462508916855, -0.010505185462534428, -0.037879835814237595, 0.056860074400901794, 0.02479439601302147, -0.0029086600989103317, 0.03140585497021675, ...
Declan/Politico_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-medium.en results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_myst type: rishabhjain16/infer_myst config: ...
[ -0.01787649095058441, -0.02402535267174244, -0.023074399679899216, 0.03051024116575718, 0.05505668371915817, 0.021790247410535812, -0.014557480812072754, 0.010180046781897545, -0.047141291201114655, 0.07314648479223251, 0.012258453294634819, -0.019090324640274048, 0.015747616067528725, 0.0...
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
2023-02-15T23:14:40Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: openai/whisper-large-v2 results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_myst type: rishabhjain16/infer_myst config: e...
[ -0.020634936168789864, -0.02459797076880932, -0.02199946716427803, 0.03511360287666321, 0.05381489545106888, 0.018856452777981758, -0.015437297523021698, 0.008840437047183514, -0.04207775369286537, 0.07482436299324036, 0.01676638051867485, -0.014725852757692337, 0.016196217387914658, 0.042...
Declan/Reuters_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 tags: - vision - image-classification datasets: - imagenet-1k widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_title: Teapot - src: https...
[ -0.031914614140987396, -0.01899143122136593, 0.0067363609559834, 0.01958998292684555, 0.0158491600304842, 0.0038813194260001183, -0.014473875053226948, -0.00741847138851881, -0.018750915303826332, 0.05672947317361832, -0.0017953211208805442, 0.009584370069205761, 0.0281016007065773, 0.0414...
Declan/Reuters_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- 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 ...
[ -0.045773573219776154, -0.0011405505938455462, -0.021868612617254257, 0.03214404359459877, 0.04369646683335304, 0.017817804589867592, -0.017867740243673325, -0.031093908473849297, -0.03726676106452942, 0.06935939192771912, 0.02268294431269169, 0.003133457386866212, 0.014820896089076996, 0....
Declan/WallStreetJournal_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- 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...
[ -0.03147125244140625, -0.018977727741003036, -0.02195798233151436, 0.056798968464136124, 0.01422023680061102, 0.03441425785422325, -0.02660515159368515, -0.012013150379061699, -0.0619429312646389, 0.08377192914485931, 0.029946746304631233, 0.009338968433439732, 0.002101016230881214, 0.0335...
Declan/WallStreetJournal_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - autotrain - summarization language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - zaib32/autotrain-data-finetune_17-0 co2_eq_emissions: emissions: 0.13450186573008246 --- # Model Trained Using AutoTrain - Problem type: Summarization - Model ID: 3516595138 - CO2 Emissions (in grams): 0.1345 ##...
[ -0.020367000252008438, -0.018475709483027458, 0.0071927886456251144, 0.027514299377799034, 0.029256971552968025, 0.015977604314684868, -0.040989190340042114, -0.018743380904197693, -0.041550472378730774, 0.07599089294672012, 0.023414934054017067, 0.028902146965265274, 0.012615080922842026, ...
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: - vision - image-classification datasets: - imagenet-1k widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg example_title: Teapot - src: https...
[ -0.03168455883860588, -0.01891733519732952, 0.007669761311262846, 0.018612124025821686, 0.01548074558377266, 0.002886754460632801, -0.015144589357078075, -0.008866037242114544, -0.018654605373740196, 0.05630284920334816, -0.0008486080914735794, 0.008994835428893566, 0.028262963518500328, 0...
DeepBasak/Slack
[]
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: openai/whisper-medium results: - task: type: automatic-speech-recognition name: Automatic Speech Recognition dataset: name: rishabhjain16/infer_myst type: rishabhjain16/infer_myst config: en ...
[ -0.01965292915701866, -0.023905308917164803, -0.024717679247260094, 0.03293956071138382, 0.053521476686000824, 0.02231137827038765, -0.016269100829958916, 0.01250520534813404, -0.04467763006687164, 0.07519269734621048, 0.013795547187328339, -0.01688562147319317, 0.01692112721502781, 0.0404...
DeepChem/ChemBERTa-10M-MTR
[ "pytorch", "roberta", "arxiv:1910.09700", "transformers" ]
null
{ "architectures": [ "RobertaForRegression" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ng...
708
null
--- 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...
[ -0.054849978536367416, 0.004062925465404987, -0.005353828892111778, 0.058495450764894485, 0.026959700509905815, 0.028838541358709335, -0.00503539340570569, -0.02958807535469532, -0.0070480904541909695, 0.05013859272003174, 0.018640704452991486, -0.010652577504515648, 0.005630928091704845, ...
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
null
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: HaLong results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.9555555582046509 --- # HaLong Autogenerated by H...
[ -0.020219476893544197, -0.009778209030628204, 0.01916339620947838, 0.04122566059231758, 0.020681064575910568, -0.016939518973231316, -0.029159720987081528, -0.018788179382681847, -0.006089824251830578, 0.03090139850974083, 0.018094705417752266, 0.005031694658100605, 0.014773359522223473, 0...
DeskDown/MarianMixFT_en-fil
[ "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...
3
null
Access to model moinbukhari/sd-15-2-moin is restricted and you are not in the authorized list. Visit https://huggingface.co/moinbukhari/sd-15-2-moin to ask for access.
[ -0.028520913794636726, -0.021690836176276207, 0.0010709541384130716, 0.017652951180934906, 0.03965242952108383, 0.006725078448653221, 0.0044374424032866955, -0.001186111941933632, -0.0364355593919754, 0.04261381924152374, 0.06152162700891495, 0.006332269869744778, 0.017492573708295822, 0.0...
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
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 ...
[ -0.03866922855377197, -0.01916889101266861, -0.013817200437188148, 0.03738059476017952, 0.04855690896511078, -0.005777515005320311, -0.012828575447201729, -0.023428888991475105, -0.030422404408454895, 0.0550544410943985, 0.02051340788602829, -0.03300843760371208, 0.01726762391626835, 0.016...