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
Barytes/hellohf
[ "tf", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "transformers", "exbert", "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...
2
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 ...
[ -0.041019514203071594, 0.016412081196904182, 0.014810954220592976, 0.016668016090989113, 0.04882607236504555, -0.013339653611183167, -0.019839679822325706, -0.023481203243136406, -0.017161207273602486, 0.0685286596417427, 0.03656908497214317, -0.00702887075021863, 0.011986307799816132, -0....
Batsy24/DialoGPT-small-Twilight_EdBot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
Anime text-to-image model that focused on very vibrant and saturated images ![](https://cdn.discordapp.com/attachments/1064802771716554792/1064959907591356446/00338-918939155-masterpiece20best20quality20ultra-detailed20illustration20an20extremely20delicate20and20beautiful201girl2020cute920165880041008a81b8ea1a19ef3a617...
[ 0.00917073991149664, -0.057081304490566254, -0.0068793147802352905, 0.04674204811453819, 0.04893467575311661, -0.00057591701624915, 0.02538640983402729, -0.01687007024884224, -0.0010857443558052182, 0.051116570830345154, 0.019846653565764427, -0.012252368032932281, 0.04218900576233864, 0.0...
Battlehooks/distilbert-base-uncased-finetuned-squad
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.037094391882419586, -0.002625138033181429, -0.004799253307282925, 0.02586912363767624, 0.0452846996486187, -0.021244045346975327, -0.005148253403604031, -0.028337761759757996, -0.03346607834100723, 0.06652217358350754, 0.03297019004821777, -0.023444028571248055, 0.022806022316217422, 0....
BatuhanYilmaz/bert-finetuned-nerxD
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-17T06:25:27Z
--- license: apache-2.0 datasets: - squad_v2 language: - en metrics: - squad_v2 pipeline_tag: question-answering --- # 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 template](https://g...
[ -0.00726444274187088, -0.019259320572018623, -0.0037461775355041027, 0.04146650806069374, 0.04696517437696457, 0.027080386877059937, -0.0234521497040987, 0.009498032741248608, -0.03224814310669899, 0.053870804607868195, 0.0357528030872345, -0.01920393854379654, 0.02569110505282879, 0.04744...
BatuhanYilmaz/dummy-model
[ "tf", "camembert", "fill-mask", "transformers", "generated_from_keras_callback", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "CamembertForMaskedLM" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: FPT-P3-23000 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. --> # FPT-P3-...
[ -0.02669862098991871, -0.01913299225270748, -0.004943742882460356, 0.022916100919246674, 0.028937485069036484, 0.0283726267516613, -0.00917087309062481, -0.004288739524781704, -0.03266468271613121, 0.05051423981785774, 0.01852451264858246, -0.02790439873933792, -0.002356047974899411, 0.040...
BatuhanYilmaz/dummy
[]
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
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/model-cards {} --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base tem...
[ -0.03460074961185455, -0.01104849111288786, 0.0002903054701164365, 0.015283763408660889, 0.022958802059292793, 0.04423334077000618, -0.020336277782917023, -0.02651805430650711, -0.028320087119936943, 0.04978816583752632, 0.02261069044470787, -0.00618685083463788, 0.03202740103006363, 0.050...
BatuhanYilmaz/mlm-finetuned-imdb
[]
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 license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-2500...
[ -0.012019396759569645, -0.029888276010751724, -0.019505493342876434, 0.012672490440309048, 0.034471068531274796, 0.003476734273135662, -0.0022804015316069126, 0.0005997114931233227, -0.04758039116859436, 0.06919103860855103, 0.015308952890336514, -0.022621946409344673, 0.011558068916201591, ...
BatuhanYilmaz/mt5-small-finetuned-amazonbooks-en-es
[]
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: HateXplain-majority-labeled results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this com...
[ -0.026684323325753212, 0.010771897621452808, -0.004356496501713991, 0.04533617943525314, 0.04026064649224281, 0.03677486628293991, -0.013997062109410763, 0.005225967150181532, -0.0220110435038805, 0.04554174840450287, 0.012994877994060516, -0.027378767728805542, 0.016033878549933434, 0.045...
Baybars/debateGPT
[]
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: mlp results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.04149359464645386, -0.00018453494703862816, -0.004342107567936182, 0.025907080620527267, 0.03805709257721901, -0.02194952964782715, -0.012295176275074482, -0.027477845549583435, -0.03133821487426758, 0.06608524173498154, 0.034423984587192535, -0.02638746052980423, 0.02121480368077755, -...
BearThreat/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
30
null
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-large_sst2_negation0.001_pretrainedTrue_epochs2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete...
[ -0.02182121016085148, -0.009450298734009266, -0.003441972192376852, 0.03635289520025253, 0.04050460830330849, 0.009207330644130707, -0.01883588917553425, -0.014631793834269047, -0.03329724073410034, 0.04193553701043129, 0.0312725193798542, -0.012539992108941078, 0.0241183303296566, 0.05762...
Beelow/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: - 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...
[ -0.018010614439845085, -0.01822303794324398, -0.005591182038187981, 0.030095107853412628, 0.0501832440495491, -0.016971753910183907, -0.010738309472799301, -0.007976207882165909, -0.05954790860414505, 0.05412435159087181, -0.0009981377515941858, -0.009819857776165009, 0.025216441601514816, ...
Begimay/Task
[]
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
--- inference: parameters: max_length: 250 temperature: 0.7 top_p: 1 license: creativeml-openrail-m widget: - text: 用户:帮我写个请假条,我因为新冠不舒服,需要请假3天,请领导批准\n小元: - text: >- 用户:新冠什么症状?\n小元:新冠是指新型冠状病毒,其症状包括发热、干咳、乏力、嗅味觉减退、呼吸困难等。\n用户:可以吃什么药?\n小元:根据您提供的病史,目前没有明确的抗新冠病毒的药物,建议您在家进行自我隔离,避免与他人接触,多喝开水,清淡易消化饮食,避免熬夜和过度劳累,...
[ -0.02918414957821369, -0.014318836852908134, 0.000044775115384254605, 0.042089469730854034, 0.052795737981796265, -0.024503381922841072, -0.01424416434019804, -0.010084377601742744, -0.03436863794922829, 0.03609886392951012, -0.008176962845027447, -0.007210151292383671, 0.02879546768963337, ...
Bella4322/Sarah
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.020465249195694923, -0.015765130519866943, -0.0069724442437291145, 0.026084838435053825, 0.04562251642346382, 0.00020876295457128435, -0.018211180344223976, 0.008259439840912819, -0.037892844527959824, 0.054415952414274216, 0.019201742485165596, -0.007247323635965586, 0.01330527663230896,...
BenDavis71/GPT-2-Finetuning-AIRaid
[ "pytorch", "jax", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- language: - zh license: creativeml-openrail-m widget: - text: |- 这是关于哪方面的新闻: 如果日本沉没,中国会接收日本难民吗? 选项:故事,文化,娱乐,体育,财经,房产,汽车,教育,科技,军事,旅游,国际,股票,农业,游戏 答案: - text: |- 以下两句话是否表达相同意思: 文本1:糖尿病腿麻木怎么办? 文本2:糖尿病怎样控制生活方式 选项:相似,不相似 答案: - text: |- 阅读以下对话并回答问题。 男:今天怎么这么晚才来上班啊?女:昨天工作到很晚,而且我...
[ -0.013036123476922512, -0.01700347103178501, -0.009202816523611546, 0.04406032711267471, 0.0622013583779335, 0.0036624164786189795, -0.0161559097468853, -0.016605356708168983, -0.03870449587702751, 0.05254242569208145, 0.00752718560397625, -0.01624099537730217, -0.004430896136909723, 0.030...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
4
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - wildcard widget: - text: illustration of a tthero tank sitting on top of the deck of a battle ship traveling through the open sea with a lot of ships surrounding it ---...
[ -0.03776070848107338, -0.02492164634168148, -0.015698524191975594, 0.02731330320239067, 0.029892943799495697, 0.024708271026611328, -0.021278461441397667, 0.005369313061237335, -0.009991176426410675, 0.04181971773505211, 0.026887817308306694, 0.01447977777570486, -0.018214695155620575, 0.0...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi2-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complet...
[ -0.023244233801960945, -0.010258447378873825, -0.012275680899620056, 0.03469543159008026, 0.03656937554478645, 0.023668773472309113, -0.01666269265115261, 0.00207853433676064, -0.0398431159555912, 0.0434221513569355, 0.026345890015363693, -0.01599578559398651, 0.02227036841213703, 0.045631...
Bharathdamu/wav2vec2-model-hindibhasha
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - sst2 model-index: - name: finetuned_distilgpt2_sst2_negation0.01_pretrainedFalse_epochs3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and c...
[ -0.017269421368837357, -0.014623651280999184, -0.01253551710397005, 0.0309890229254961, 0.0400419682264328, 0.023556068539619446, -0.02777261659502983, -0.0017693170811980963, -0.04034288227558136, 0.04226091504096985, 0.03229853883385658, -0.013463006354868412, 0.01374758780002594, 0.0448...
Bhuvana/t5-base-spellchecker
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
93
2023-01-17T08:14:54Z
--- tags: - fastai --- # Amazing! 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub! # Some next steps 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))! 2. Create a demo in Gradio or Streamlit u...
[ -0.021706635132431984, -0.033120911568403244, 0.0069284033961594105, 0.022917678579688072, 0.010587208904325962, 0.024608587846159935, -0.02954155206680298, -0.016725419089198112, -0.028829533606767654, 0.032675109803676605, 0.03176262229681015, 0.010438955388963223, 0.04351669177412987, 0...
Bia18/Beatriz
[]
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: - 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...
[ -0.049702346324920654, -0.016058024019002914, -0.00886969082057476, 0.036457642912864685, 0.04128040373325348, 0.0031062746420502663, -0.021190553903579712, -0.010461368598043919, -0.03792296350002289, 0.05705393850803375, 0.02445206604897976, -0.0030834751669317484, 0.03193342685699463, 0...
BigSalmon/DaBlank
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
4
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.022554848343133926, -0.014331626705825329, -0.00942172110080719, 0.029446899890899658, 0.04685814306139946, 0.0029960584361106157, -0.019122205674648285, 0.00167028047144413, -0.03980356827378273, 0.056113969534635544, 0.013496475294232368, -0.009631119668483734, 0.011924886144697666, 0...
BigSalmon/FormalBerta2
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
16
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 ...
[ -0.03790576010942459, -0.017049143090844154, -0.012403723783791065, 0.0351322777569294, 0.04829604923725128, -0.006780925206840038, -0.011225038208067417, -0.026017600670456886, -0.032068368047475815, 0.05524694174528122, 0.02442091889679432, -0.033181142061948776, 0.01734723336994648, 0.0...
BigSalmon/GPT2HardArticleEasyArticle
[ "pytorch", "jax", "tensorboard", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: mit language: ja tags: - luke - question-answering - squad - pytorch - transformers - question answering --- # このモデルはluke-japanese-large-liteをファインチューニングして、Question-Answeringに用いれるようにしたものです。 このモデルはluke-japanese-large-liteを運転ドメインQAデータセット(DDQA)( https://nlp.ist.i.kyoto-u.ac.jp/ind...
[ 0.004223853349685669, -0.03913687914609909, 0.008613835088908672, 0.05570737645030022, 0.028904108330607414, 0.006903378758579493, 0.00024319429940078408, 0.00944834016263485, -0.06239844858646393, 0.05062171071767807, 0.034505344927310944, 0.0034646561834961176, 0.018299393355846405, 0.02...
BigSalmon/GPTNeo350MInformalToFormalLincoln4
[ "pytorch", "gpt_neo", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
11
2023-01-17T09:18:22Z
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: wikineural-multilingual-ner results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and co...
[ -0.02654123865067959, -0.02252187579870224, -0.008386511355638504, 0.04310258850455284, 0.022850090637803078, 0.02819603495299816, -0.0026047592982649803, -0.030133793130517006, -0.0492161326110363, 0.07315845787525177, 0.039756689220666885, -0.0156809464097023, 0.01895030401647091, 0.0243...
BigSalmon/InformalToFormalLincoln21
[ "pytorch", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/- 2.72...
[ -0.0169947762042284, -0.016943490132689476, -0.008556296117603779, 0.02604186348617077, 0.04722743108868599, -0.0014404879184439778, -0.01837300695478916, 0.011219620704650879, -0.0369361974298954, 0.05286696180701256, 0.013577812351286411, -0.007025876548141241, 0.012719007208943367, 0.02...
BigSalmon/InformalToFormalLincoln22
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: - ko library_name: doctr --- <p align="center"> <img src="https://doctr-static.mindee.com/models?id=v0.3.1/Logo_doctr.gif&src=0" width="60%"> </p> **Optical Character Recognition made seamless & accessible to anyone, powered by TensorFlow 2 & PyTorch** ## Task: recognition https://github.com/mindee/do...
[ -0.03260289132595062, -0.023928964510560036, -0.01722574420273304, 0.03428470343351364, 0.034518659114837646, 0.004866340663284063, -0.012298790737986565, 0.0007019960903562605, -0.05966688692569733, 0.043957747519016266, 0.0015666154213249683, -0.010673504322767258, -0.011865455657243729, ...
BigSalmon/MrLincoln14
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
license: apache-2.0 tags: - vision - image-classification datasets: - imagenet-1k 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 exampl...
[ -0.01557221170514822, -0.028140032663941383, 0.00647991755977273, 0.04789494350552559, 0.04498086869716644, -0.030748959630727768, 0.002519345609471202, 0.0200191643089056, -0.022668344900012016, 0.05601872503757477, -0.005086284130811691, 0.003334606299176812, 0.017089128494262695, 0.0508...
BigSalmon/Neo
[ "pytorch", "gpt_neo", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
13
2023-01-17T10:45:42Z
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: imclasif-content-v001 results: - task: name: Image genre Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.8111587762832642 --- # imclas...
[ -0.01707349345088005, -0.0037524790968745947, 0.017290079966187477, 0.04007735475897789, 0.03571285307407379, -0.012447160668671131, -0.031466200947761536, -0.010541644878685474, -0.005620633717626333, 0.055842623114585876, 0.03864697366952896, 0.011824610643088818, 0.006038253661245108, 0...
BigSalmon/ParaphraseParentheses
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.73 ...
[ -0.018970804288983345, -0.01485698763281107, -0.008847338147461414, 0.026277873665094376, 0.04761688411235809, 0.00016987773415166885, -0.020177792757749557, 0.006380630191415548, -0.0373847670853138, 0.05398823693394661, 0.01867998018860817, -0.0066427206620574, 0.011827720329165459, 0.02...
BigSalmon/ParaphraseParentheses2.0
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03231101110577583, -0.002423978876322508, -0.019827615469694138, 0.050556980073451996, 0.039830248802900314, 0.025214048102498055, -0.0012975191930308938, -0.03601843863725662, -0.02807942032814026, 0.04797640070319176, 0.022921903058886528, -0.005242963321506977, 0.020101718604564667, ...
BigSalmon/T5Salmon2
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
13
2023-01-17T11:24:59Z
--- 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 ...
[ -0.04196861758828163, 0.01450249832123518, 0.015409855172038078, 0.019295096397399902, 0.05052587017416954, -0.013458805158734322, -0.020663514733314514, -0.02789127826690674, -0.017645511776208878, 0.06639068573713303, 0.03791230171918869, -0.008623084053397179, 0.008416698314249516, -0.0...
BigSalmon/TS3
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible", "has_space" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
7
null
--- language: - en license: gpl-3.0 tags: - misogyny detection - abusive language - hate speech - offensive language widget: - text: I believe religious minorities need to be protected more. example_title: Hate Speech Detection Example 1 pipeline_tag: text-classification datasets: - nedjmaou/MLMA_hate_speech --- # E...
[ 0.012316759675741196, -0.00031610741280019283, 0.012937982566654682, 0.05588578060269356, 0.04526577889919281, 0.02798665314912796, -0.0028233889024704695, -0.002883628709241748, -0.043166518211364746, 0.054143115878105164, 0.01818932592868805, -0.024685721844434738, 0.01834169588983059, 0...
BigTooth/DialoGPT-small-tohru
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- tags: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain 🤗" datasets: - ranajoy98/autotrain-data-contract_types co2_eq_emissions: emissions: 0.004185439260806501 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 2926484993 - CO2 Emissions...
[ -0.007599221542477608, -0.03416041284799576, -0.002585027599707246, 0.014441628940403461, 0.041718389838933945, 0.03835093230009079, -0.03486136719584465, -0.013648091815412045, -0.0401376374065876, 0.08506984263658524, 0.011826456524431705, 0.01733960397541523, 0.007475621532648802, 0.036...
BinksSachary/ShaxxBot2
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03218359127640724, -0.0021631147246807814, -0.019352218136191368, 0.050770554691553116, 0.04034379497170448, 0.026170844212174416, -0.0011717836605384946, -0.03650617599487305, -0.028204619884490967, 0.04835624620318413, 0.023463761433959007, -0.004713722970336676, 0.020835986360907555, ...
Blabla/Pipipopo
[]
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: DRL-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Froz...
[ -0.01728806085884571, -0.018008658662438393, -0.001124843256548047, 0.029630938544869423, 0.05354971066117287, -0.020013339817523956, -0.01142711192369461, -0.007401479873806238, -0.06176261231303215, 0.05481332540512085, -0.0026624174788594246, -0.011982790194451809, 0.02333257533609867, ...
Blackmist786/DialoGPt-small-transformers4
[ "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...
4
null
--- tags: - autotrain - vision - image-classification datasets: - swww/autotrain-data-mm 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: ht...
[ -0.014511261135339737, -0.01354927197098732, 0.020257851108908653, 0.047363921999931335, 0.048521921038627625, -0.003240361576899886, -0.019105656072497368, 0.002624241402372718, -0.03250708058476448, 0.06387076526880264, 0.0008340994245372713, 0.004569326061755419, 0.0021154338028281927, ...
Blazeolmo/Scrabunzi
[]
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: Ashraf-kasem/gpt2_fine_tune_with_callback_PolynomialDecay_from_local results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this c...
[ -0.021205957978963852, -0.02310359664261341, 0.007880081422626972, 0.002667431253939867, 0.01861453615128994, 0.009738261811435223, -0.01139067392796278, -0.00986476056277752, -0.038081876933574677, 0.058052126318216324, 0.025919009000062943, -0.012236555106937885, 0.015416680835187435, 0....
Blerrrry/Kkk
[]
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
--- pipeline_tag: other tags: - image-captioning inference: false languages: - en license: bsd-3-clause datasets: - ybelkada/football-dataset --- # BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Model card for image captioning pretrained on COCO dataset - base...
[ -0.0025085799861699343, -0.014247344806790352, 0.01390719972550869, 0.04695470258593559, 0.04014915972948074, -0.016206834465265274, 0.003631708212196827, 0.0004059484344907105, -0.0006278461078181863, 0.0707179605960846, 0.024614498019218445, -0.021628156304359436, 0.00026859520585276186, ...
Branex/gpt-neo-2.7B
[]
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: - art - stable-diffusion - Automatic1111 - .ckpt - stable-diffusion-diffusers - text-to-image - diffusers inference: false --- Celeste is a general-purpose stable diffusion illustrations model. She seems to perform well with a smaller amount of prompts. ![celeste](https://hugg...
[ 0.005173278972506523, -0.017688116058707237, -0.009748698212206364, 0.03845154866576195, 0.03713764622807503, -0.005454659461975098, -0.005519303493201733, -0.011250278912484646, -0.021137861534953117, 0.051389481872320175, 0.012343520298600197, -0.006492923013865948, 0.0008096263045445085, ...
BrianTin/MTBERT
[ "pytorch", "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...
11
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.027848543599247932, -0.0008609058568254113, -0.031859129667282104, 0.050496287643909454, 0.046116575598716736, 0.023089013993740082, 0.008312616497278214, -0.03255683183670044, -0.0309272650629282, 0.04732392728328705, 0.022210976108908653, -0.004915495868772268, 0.017672620713710785, 0...
Broadus20/DialoGPT-small-joshua
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-3000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text ...
[ -0.016348065808415413, -0.010306143201887608, -0.031361207365989685, 0.04653068259358406, 0.03664391487836838, 0.037005506455898285, -0.020488092675805092, -0.020367946475744247, -0.03683292120695114, 0.06565949320793152, 0.04645124450325966, -0.018301937729120255, 0.01933375746011734, 0.0...
Brokette/projetCS
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "transformers" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
4
null
# Kanade! training: - 250 images on yoisaki kanade, with wd1.4+booru tags, merged with other models - 786 ARB; EMA; fp32; clip2 - 2e-6 CosineAnnealing - augmentations: brightness/contrast/crop/flip tested on: **clip1**, DDIM, 448x512 latent hires(2x), DDIM, step 25 keyword: `yoisaki kanade, 25-ji night code de. \(p...
[ -0.025881273671984673, -0.023194752633571625, 0.013566570356488228, 0.04760114103555679, 0.03839769959449768, 0.003299413016065955, -0.0017978411633521318, -0.002318911487236619, -0.03653595969080925, 0.06114943325519562, -0.010136534459888935, -0.020868023857474327, 0.015960292890667915, ...
Brona/poc_de
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.051498908549547195, 0.007494003511965275, -0.008043264970183372, 0.058495473116636276, 0.027456454932689667, 0.03059287555515766, -0.0035053608007729053, -0.03353947401046753, -0.003628149628639221, 0.05163044109940529, 0.017917176708579063, -0.013822663575410843, 0.00791684165596962, 0...
Bryan190/Aguy190
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-17T12:53:51Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-medium-finetuned-on-fleurs-ln_cd1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove...
[ -0.023614395409822464, -0.003044550307095051, -0.0010439506731927395, 0.027210546657443047, 0.018159519881010056, 0.010365611873567104, -0.016238566488027573, 0.008677956648170948, -0.011702545918524265, 0.05294646695256233, 0.03335875645279884, -0.013479241169989109, 0.01122850552201271, ...
CALM/backup
[ "lean_albert", "transformers" ]
null
{ "architectures": [ "LeanAlbertForPretraining", "LeanAlbertForTokenClassification", "LeanAlbertForSequenceClassification" ], "model_type": "lean_albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "len...
4
2023-01-17T13:25:17Z
--- language: - gos --- A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual XLS-R model that is [further pre-trained on Gronings speech](https://huggingface.co/bartelds/wav2vec2-xls-r-300m-gos). This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic S...
[ -0.04996329918503761, -0.013926957733929157, -0.011259625665843487, 0.02965548448264599, 0.05069408938288689, 0.016256697475910187, -0.008896547369658947, -0.01445950660854578, -0.03518063202500343, 0.06602635979652405, 0.017618713900446892, -0.009300450794398785, 0.008310943841934204, 0.0...
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
--- 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 ...
[ -0.037600014358758926, -0.0023653071839362383, -0.0049290950410068035, 0.02522028423845768, 0.0456429049372673, -0.021220063790678978, -0.0059127407148480415, -0.02786121889948845, -0.032587502151727676, 0.06623055785894394, 0.0320223867893219, -0.02365078032016754, 0.022789446637034416, 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
2023-01-17T13:30:26Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - samsum metrics: - rouge model-index: - name: tst-summarization results: - task: name: Summarization type: summarization dataset: name: samsum type: samsum config: samsum split: train args: samsum met...
[ -0.010211721993982792, -0.01120044570416212, -0.006143067963421345, 0.031487930566072464, 0.042226649820804596, 0.008731143549084663, -0.023447291925549507, -0.016650820150971413, -0.049097295850515366, 0.06299687922000885, 0.04390595480799675, -0.012787027284502983, 0.005770322401076555, ...
CAMeL-Lab/bert-base-arabic-camelbert-da-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...
37
null
--- language: - gos --- A Gronings Wav2Vec2 model. This model is created by fine-tuning the multilingual XLS-R model that is [further pre-trained on Gronings speech](https://huggingface.co/bartelds/wav2vec2-xls-r-300m-gos). This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic S...
[ -0.04996329918503761, -0.013926957733929157, -0.011259625665843487, 0.02965548448264599, 0.05069408938288689, 0.016256697475910187, -0.008896547369658947, -0.01445950660854578, -0.03518063202500343, 0.06602635979652405, 0.017618713900446892, -0.009300450794398785, 0.008310943841934204, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-da-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...
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 ...
[ -0.0386628694832325, -0.015883013606071472, -0.01502186805009842, 0.037092264741659164, 0.04892963916063309, -0.004312933422625065, -0.013987849466502666, -0.02395365573465824, -0.031237194314599037, 0.0544806532561779, 0.022288626059889793, -0.033196937292814255, 0.0183734018355608, 0.014...
CAMeL-Lab/bert-base-arabic-camelbert-da
[ "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...
449
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### sfjssoiproto Dreambooth model trained by tytfyhutrf with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Col...
[ -0.03244582191109657, -0.01294211857020855, -0.028438733890652657, 0.030717892572283745, 0.0279677901417017, 0.014297823421657085, 0.005078337155282497, 0.0009190120617859066, -0.017224997282028198, 0.031208829954266548, 0.03716447949409485, 0.006462952587753534, -0.02792797051370144, 0.02...
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-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...
[ -0.04803847149014473, 0.004692743998020887, -0.022162001579999924, 0.049333568662405014, 0.03303051367402077, 0.026820478960871696, -0.007885449565947056, -0.030235987156629562, -0.007703021168708801, 0.052198778837919235, 0.01632610522210598, -0.013148671947419643, 0.006087126210331917, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-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...
1,862
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...
[ -0.016727866604924202, -0.01815088279545307, -0.007844541221857071, 0.03140389546751976, 0.0517318956553936, -0.017496425658464432, -0.011939036659896374, -0.009995694272220135, -0.05878669023513794, 0.054841168224811554, -0.0022415798157453537, -0.009293661452829838, 0.024417033419013023, ...
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
2023-01-17T14:57:49Z
--- 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...
[ -0.01565435156226158, -0.016856012865900993, -0.006730677094310522, 0.02915019355714321, 0.05287175253033638, -0.01606406643986702, -0.012713468633592129, -0.00751482555642724, -0.058812424540519714, 0.05561034008860588, -0.0010296207619830966, -0.009349672123789787, 0.025840312242507935, ...
CLAck/en-km
[ "pytorch", "marian", "text2text-generation", "transformers", "translation", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
2023-01-17T15:00:13Z
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer model-index: - name: modelv3_WS_CV0 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. --> # modelv3_WS_CV0 ...
[ -0.021796463057398796, -0.006249533966183662, 0.005376559682190418, 0.03380965441465378, 0.03490585461258888, 0.013981809839606285, -0.02082189917564392, -0.005211097653955221, -0.0351334847509861, 0.05949807167053223, 0.011770256794989109, -0.04092560335993767, 0.005183162167668343, 0.022...
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
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.54 +/- 2.73...
[ -0.017875196412205696, -0.014524189755320549, -0.007238263264298439, 0.024333007633686066, 0.04778801649808884, 0.0006474885158240795, -0.02056954614818096, 0.007759243715554476, -0.0369507297873497, 0.053935494273900986, 0.017140237614512444, -0.0067833843640983105, 0.014599834568798542, ...
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
--- language: en thumbnail: http://www.huggingtweets.com/ual/1673970310616/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px...
[ 0.003827580949291587, -0.03463476896286011, 0.004504645708948374, 0.0626494362950325, 0.049558453261852264, 0.007818597368896008, -0.017303545027971268, -0.008514932356774807, -0.045125797390937805, 0.03058617189526558, 0.009241241961717606, 0.0015777426306158304, -0.015218514949083328, 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: mit --- ### chukotka on Stable Diffusion This is the `<chukotka>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) no...
[ -0.02118735946714878, -0.02426048181951046, -0.020520715042948723, 0.03199583664536476, 0.01486214343458414, 0.014567555859684944, 0.000823806447442621, -0.003220856189727783, -0.04912419617176056, 0.051965221762657166, 0.0073074717074632645, -0.014802501536905766, 0.03694690763950348, 0.0...
CLEE/CLEE
[]
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 ...
[ -0.037256013602018356, -0.002534369705244899, -0.005381627008318901, 0.02579108066856861, 0.04575566574931145, -0.021530816331505775, -0.005851822905242443, -0.02854629047214985, -0.03310338780283928, 0.06654870510101318, 0.03271986544132233, -0.023663697764277458, 0.022590117529034615, 0....
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
2023-01-17T15:17:16Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: Vin2-P3 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. --> # Vin2-P3 Thi...
[ -0.02622319385409355, -0.027620773762464523, 0.0019454951398074627, 0.020537886768579483, 0.03269194811582565, 0.0042526014149188995, -0.012997511774301529, -0.003835943527519703, -0.016127951443195343, 0.04637818783521652, 0.025776119902729988, -0.027923544868826866, -0.0005253893905319273,...
CLTL/icf-levels-adm
[ "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, "...
33
null
--- license: mit tags: - generated_from_trainer datasets: - germanquad model-index: - name: gbert-base_QA results: [] widget: - text: "welchen Vertrag oder welche Art von Anstellung?" context: "Ihre Aufgaben als Fachplaner Gebäudeausrüstung (m/w/d):\n• Ihre Hauptaufgabe wird die eigenverantwortlich Zeichnungserstel...
[ 0.017125220969319344, -0.04706756770610809, -0.01185181736946106, 0.020381543785333633, 0.04718448594212532, 0.03513016924262047, -0.019657837226986885, 0.011581432074308395, -0.05352936312556267, 0.05273357033729553, -0.003107531229034066, 0.008401279337704182, -0.01270428765565157, 0.043...
CLTL/icf-levels-etn
[ "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, "...
31
null
--- license: cc-by-nc-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-ucf101-subset results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then rem...
[ -0.05321544036269188, -0.01186807919293642, 0.015161098912358284, 0.02136974036693573, 0.039200667291879654, 0.01952025666832924, -0.00881872046738863, -0.01993536576628685, -0.03368225693702698, 0.043209321796894073, 0.021347209811210632, -0.018717404454946518, 0.010287772864103317, 0.035...
CLTL/icf-levels-ins
[ "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
--- license: cc-by-nc-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: videomae-base-finetuned-ucf101-subset results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then rem...
[ -0.05384737625718117, -0.011640048585832119, 0.01559136901050806, 0.02243657596409321, 0.038542285561561584, 0.02057311125099659, -0.008545427583158016, -0.018792616203427315, -0.034291233867406845, 0.042148150503635406, 0.020044812932610512, -0.018862243741750717, 0.009062697179615498, 0....
CLTL/icf-levels-mbw
[ "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, "...
30
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - landscape widget: - text: professional photo of fforiver river running alongside the Colosseum in Rome --- # DreamBooth model for the fforiver concept trained on the CCMat...
[ -0.01584002748131752, -0.02494804374873638, -0.02705710008740425, 0.025336559861898422, 0.030325302854180336, 0.019455067813396454, 0.010059001855552197, -0.0017238109139725566, -0.023202721029520035, 0.0464237779378891, 0.02503017894923687, 0.0019972228910773993, -0.022647187113761902, 0....
CM-CA/Cartman
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-uncased-finetuned-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. --...
[ -0.028160160407423973, -0.004135815426707268, -0.03335265442728996, 0.03829788789153099, 0.05132094398140907, 0.02020007185637951, -0.03157466650009155, -0.007232149131596088, -0.04262989014387131, 0.053140200674533844, 0.031792495399713516, -0.02431267686188221, 0.020180439576506615, 0.04...
CNT-UPenn/RoBERTa_for_seizureFrequency_QA
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
2023-01-17T15:47:22Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.040601104497909546, 0.015461636707186699, 0.013676238246262074, 0.01836773194372654, 0.049443844705820084, -0.013354454189538956, -0.019275551661849022, -0.023588722571730614, -0.018230576068162918, 0.06781091541051865, 0.03610565885901451, -0.008168491534888744, 0.01143406331539154, -0...
CTBC/ATS
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-17T15:53:20Z
--- 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...
[ -0.05013705790042877, -0.01607600599527359, -0.00847285334020853, 0.0361408032476902, 0.0405719093978405, 0.002682394115254283, -0.02128925360739231, -0.010602678172290325, -0.037449393421411514, 0.057483311742544174, 0.024793442338705063, -0.0033990051597356796, 0.031687263399362564, 0.00...
CZWin32768/xlm-align
[ "pytorch", "xlm-roberta", "fill-mask", "arxiv:2106.06381", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
6
2023-01-17T15:57:47Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1-mod results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - t...
[ -0.03013896755874157, 0.01812526397407055, 0.0022314973175525665, 0.0096494285389781, 0.04274793341755867, -0.019013117998838425, -0.02059486322104931, -0.017202895134687424, -0.030312687158584595, 0.08442844450473785, 0.01870485208928585, -0.008783063851296902, 0.018198136240243912, 0.015...
Caddy/UD
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-17T15:59:12Z
<p> Model A: Basil mix fixed</p> <p> Model B: AnythingV3-pruned</p> <p> Weight: 1,0.9,0.7,0.5,0.3,0.1,1,1,1,1,1,1,0,0,0,0,0,0,0,0.1,0.3,0.5,0.7,0.9,1 </p> <p> Base alpha: 0</p>
[ -0.03442930057644844, 0.0026963180862367153, -0.017635470256209373, 0.040861450135707855, 0.0257162693887949, -0.0013433281565085053, 0.007029328495264053, 0.020213430747389793, -0.037464335560798645, 0.06066933646798134, 0.029862793162465096, -0.032811641693115234, -0.000017361069694743492,...
Callidior/bert2bert-base-arxiv-titlegen
[ "pytorch", "safetensors", "encoder-decoder", "text2text-generation", "en", "dataset:arxiv_dataset", "transformers", "summarization", "license:apache-2.0", "autotrain_compatible", "has_space" ]
summarization
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
145
2023-01-17T16:01:10Z
--- 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...
[ -0.018549999222159386, -0.017805088311433792, -0.00599732855334878, 0.03001243993639946, 0.050146132707595825, -0.017495207488536835, -0.011550208553671837, -0.008868512697517872, -0.05934847146272659, 0.054839979857206345, -0.002387760439887643, -0.009122454561293125, 0.02569633722305298, ...
CallumRai/HansardGPT2
[ "pytorch", "jax", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
2023-01-17T16:04:40Z
--- 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: 7.54 +/- 2.73 ...
[ -0.02027510106563568, -0.01606849767267704, -0.007813605479896069, 0.025240644812583923, 0.045339688658714294, 0.00015548974624834955, -0.019412435591220856, 0.007473216857761145, -0.03726031258702278, 0.055192723870277405, 0.018141211941838264, -0.006057275924831629, 0.013776898384094238, ...
Carlork314/Carlos
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-17T16:28:04Z
--- 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 ...
[ -0.04530883580446243, -0.000877787359058857, -0.02197003923356533, 0.03250867873430252, 0.04365982115268707, 0.017631299793720245, -0.01819853112101555, -0.031031643971800804, -0.037769947201013565, 0.0690644159913063, 0.022703297436237335, 0.002855626866221428, 0.014605268836021423, 0.027...
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
--- license: mit tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: deberta-large-finetuned-sst2 results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: sst2 split: train args: sst...
[ -0.0204622820019722, -0.0039999098517000675, 0.004232467617839575, 0.03286418318748474, 0.06161219999194145, 0.018503498286008835, -0.021770035848021507, -0.02414075843989849, -0.04390714317560196, 0.0680217519402504, 0.00914076343178749, -0.016174182295799255, 0.02883884310722351, 0.03561...
Cat/Kitty
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-17T16:30:29Z
--- language: - fa license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Small Fa - BuzzyBuzzy results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset...
[ -0.03716268762946129, -0.001366115058772266, -0.022781191393733025, 0.043861228972673416, 0.04652111232280731, 0.03319970518350601, -0.0050561134703457355, -0.009241865947842598, -0.022319015115499496, 0.06942397356033325, 0.026875359937548637, -0.026222413405776024, -0.0006598131731152534, ...
Cdial/hausa-asr
[ "wav2vec2", "automatic-speech-recognition", "ha", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
8
2023-01-17T16:32:31Z
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer model-index: - name: modelv3_WS_CV1 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. --> # modelv3_WS_CV1 ...
[ -0.021541228517889977, -0.009928546845912933, 0.002670737449079752, 0.03142818808555603, 0.038402363657951355, 0.010810655541718006, -0.02084236964583397, -0.0022747472394257784, -0.032680463045835495, 0.05978268384933472, 0.009021985344588757, -0.03972779959440231, 0.004653129726648331, 0...
dccuchile/albert-base-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...
25
2023-01-17T16:46:57Z
--- 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 ...
[ -0.04565844684839249, -0.0005371308652684093, -0.022578850388526917, 0.032746706157922745, 0.04365069791674614, 0.018330560997128487, -0.017840519547462463, -0.03031299263238907, -0.03734332695603371, 0.06914230436086655, 0.021759849041700363, 0.0034846565686166286, 0.014780613593757153, 0...
dccuchile/albert-base-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
# auto-sd-paint-ext Formerly known as `auto-sd-krita`. > Extension for AUTOMATIC1111's webUI with Krita Plugin (other drawing studios soon?) Outdated demo | New UI (TODO: demo image) --- | --- ![demo image](https://user-images.githubusercontent.com/42513874/194701722-e7a3f7eb-be4a-4f43-93a5-480835c9260f.jpg) | ![dem...
[ -0.00592292845249176, -0.03386826068162918, 0.005720015149563551, 0.033009566366672516, 0.060935430228710175, 0.029087716713547707, -0.01118631660938263, -0.011357586830854416, 0.005045678466558456, 0.0790189653635025, 0.0274148378521204, -0.010805382393300533, 0.009502645581960678, 0.0639...
dccuchile/albert-base-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...
3
2023-01-17T16:51:43Z
--- license: apache-2.0 tags: - classification - generated_from_trainer datasets: - poem_sentiment metrics: - accuracy model-index: - name: clasificador-poem-sentiment results: - task: name: Text Classification type: text-classification dataset: name: poem_sentiment type: poem_sentiment ...
[ 0.004116384778171778, -0.01266038604080677, -0.019950775429606438, 0.040948256850242615, 0.034670840948820114, 0.00916362926363945, -0.017900463193655014, -0.05059242993593216, -0.03681659325957298, 0.057670414447784424, 0.01155292522162199, -0.02520255744457245, -0.0014885677956044674, 0....
dccuchile/albert-base-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...
28
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### test1 Dreambooth model trained by ukeeba with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [fast-Co...
[ -0.03330660238862038, -0.013726434670388699, -0.026128655299544334, 0.0302105862647295, 0.03462637960910797, 0.011404087767004967, 0.0027574393898248672, 0.002677888609468937, -0.017355583608150482, 0.038725387305021286, 0.030301563441753387, 0.011505359783768654, -0.028533924371004105, 0....
dccuchile/albert-large-spanish-finetuned-mldoc
[ "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...
27
2023-02-09T06:17:35Z
--- tags: - generated_from_trainer model-index: - name: bert-fromscratch-galician-xlarge 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. --> # bert-fromscratch-galic...
[ -0.008083333261311054, -0.00412687798961997, -0.013713942840695381, 0.04873679205775261, 0.04887048900127411, 0.013459483161568642, -0.0057985661551356316, -0.020442642271518707, -0.02771521732211113, 0.04997320845723152, 0.0378664992749691, -0.022339332848787308, -0.01564408279955387, 0.0...
dccuchile/albert-large-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
2023-01-17T17:02:05Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - clinc_oos metrics: - accuracy model-index: - name: distilbert-base-uncased-finetuned-clinc results: - task: name: Text Classification type: text-classification dataset: name: clinc_oos type: clinc_oos args: plus ...
[ -0.005592634901404381, 0.0024886440951377153, -0.026091307401657104, 0.04120883345603943, 0.04617028310894966, 0.014922946691513062, -0.033111002296209335, -0.024177486076951027, -0.028246108442544937, 0.05340801924467087, 0.006607736926525831, -0.013534464873373508, 0.01855204626917839, 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
2023-01-17T17:15:23Z
--- 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...
[ -0.050130683928728104, -0.0161797646433115, -0.009129195474088192, 0.03652774542570114, 0.041043780744075775, 0.003237704513594508, -0.02132292650640011, -0.010702787898480892, -0.03767054155468941, 0.05659579113125801, 0.025242023169994354, -0.002981394762173295, 0.031803976744413376, 0.0...
dccuchile/albert-large-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...
29
null
--- license: cc-by-nc-sa-4.0 language: - en library_name: transformers tags: - finance metrics: - accuracy --- ## Model This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) trained on [Financial Documents Clustering Kaggle Dataset](https://www.kaggle.com/...
[ -0.00008560833521187305, -0.03263047710061073, 0.00491203460842371, 0.001818171120248735, 0.029873782768845558, 0.01367894560098648, -0.007952503859996796, 0.018730290234088898, -0.016345126554369926, 0.03980075567960739, 0.05205986648797989, 0.00342734856531024, 0.018367113545536995, 0.04...
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
2023-01-17T17:25:20Z
## Anything v4.5 Saturation Insert ![image.png](https://s3.amazonaws.com/moonup/production/uploads/1673998922796-62de447b4dcb9177d4bd876c.png) ![](https://s3.amazonaws.com/moonup/production/uploads/1673977225661-62de447b4dcb9177d4bd876c.png) ## Anything v4.5 ![](https://s3.amazonaws.com/moonup/production/uploads/1673...
[ -0.036690592765808105, -0.04445198178291321, -0.01708270236849785, 0.04368768632411957, 0.03501405566930771, 0.007836638949811459, 0.0034224491100758314, 0.021461188793182373, -0.036274831742048264, 0.0522182323038578, 0.0029674540273845196, -0.0005257304292172194, 0.06276589632034302, 0.0...
dccuchile/albert-tiny-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- license: mit --- # Tokenizer for masked language modeling of DNA sequences ```json "vocab": { "[PAD]": 0, "[MASK]": 1, "[UNK]": 2, "a": 3, "c": 4, "g": 5, "t": 6 }, ```
[ -0.02899032086133957, -0.028147995471954346, 0.017899557948112488, 0.03447051718831062, 0.04922623559832573, 0.02918623574078083, 0.008010365068912506, 0.011504665948450565, -0.013495661318302155, 0.03135126456618309, 0.006953257601708174, 0.00999875832349062, 0.02863670513033867, 0.061063...
dccuchile/albert-tiny-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...
31
2023-01-17T17:30:10Z
--- 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...
[ -0.032258160412311554, -0.002964341314509511, -0.019384674727916718, 0.05064988136291504, 0.040487393736839294, 0.0258744265884161, -0.002190709114074707, -0.03574115037918091, -0.027213284745812416, 0.047851841896772385, 0.023419605568051338, -0.005592278204858303, 0.01984279602766037, 0....
dccuchile/albert-xlarge-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
2023-01-17T17:34:18Z
--- tags: - autotrain - vision - image-classification datasets: - AdamOswald1/autotrain-data-let 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 -...
[ -0.006868281401693821, -0.017965923994779587, 0.013626543805003166, 0.045303333550691605, 0.05328765884041786, -0.0034711998887360096, -0.017846040427684784, -0.0037724818103015423, -0.03717166557908058, 0.06803769618272781, -0.003692480968311429, 0.0031137920450419188, 0.008360490202903748,...
dccuchile/albert-xlarge-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...
24
null
--- tags: - autotrain - vision - image-classification datasets: - AdamOswald1/autotrain-data-let 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 -...
[ -0.006388230714946985, -0.018053369596600533, 0.012887646444141865, 0.04402110353112221, 0.05261250212788582, -0.004556187894195318, -0.017277467995882034, -0.003861378412693739, -0.038208797574043274, 0.06667070090770721, -0.002428143285214901, 0.0020651575177907944, 0.007474805694073439, ...
dccuchile/albert-xlarge-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
2023-01-17T17:35:56Z
--- 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 ...
[ -0.04145297408103943, 0.016622018069028854, 0.014664743095636368, 0.016540348529815674, 0.048403237015008926, -0.013435056433081627, -0.020176807418465614, -0.023535598069429398, -0.01708640158176422, 0.06824009120464325, 0.03662293031811714, -0.007386806886643171, 0.012280622497200966, -0...
dccuchile/albert-xxlarge-spanish-finetuned-mldoc
[ "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...
26
null
--- license: other --- This model was created by mixing the dreamlike-art/dreamlike-diffusion-1.0 model with runwayML/stable-diffusion-v1-5-inpainting Please see the original model card here: https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0
[ -0.03453734144568443, -0.014793316833674908, -0.006403257604688406, 0.010176274925470352, 0.027040895074605942, 0.012981461361050606, -0.01320431288331747, 0.012295578606426716, -0.0027364599518477917, 0.05116497352719307, 0.04732581973075867, 0.005556201096624136, -0.012141107581555843, 0...
dccuchile/albert-xxlarge-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
28
null
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
dccuchile/albert-xxlarge-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...
26
2023-01-17T17:37:19Z
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
dccuchile/albert-xxlarge-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
3
null
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
dccuchile/albert-xxlarge-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
7
2023-01-17T17:37:21Z
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
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
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
dccuchile/albert-base-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "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_ngr...
586
2023-01-17T17:37:23Z
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
dccuchile/albert-large-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "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_ngr...
75
null
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
dccuchile/albert-tiny-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "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_ngr...
393
2023-01-17T17:37:25Z
Please refer to [flaim](https://github.com/bobmcdear/flaim) for sample usage and more information.
[ -0.028801433742046356, -0.0177990160882473, 0.009709036909043789, 0.04095064848661423, 0.04654870182275772, -0.0027751007582992315, 0.013433784246444702, -0.008017302490770817, -0.03628158941864967, 0.04279223829507828, 0.025687413290143013, -0.0006620099302381277, 0.039546746760606766, 0....
dccuchile/albert-xlarge-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "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_ngr...
91
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### mattyTrained Dreambooth model trained by ymatty with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook Build your own using...
[ -0.037458013743162155, -0.011903449892997742, -0.022543519735336304, 0.035650160163640976, 0.05376182869076729, 0.003301346907392144, 0.0026347055099904537, -0.0058103203773498535, -0.00035482936073094606, 0.04148118942975998, 0.04222534969449043, 0.011171942576766014, -0.0021514175459742546...
dccuchile/bert-base-spanish-wwm-cased-finetuned-pawsx
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
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 ...
[ -0.040481552481651306, -0.01526721753180027, -0.015215200372040272, 0.037752676755189896, 0.04940883815288544, -0.004348210524767637, -0.01387091726064682, -0.026417536661028862, -0.03180624172091484, 0.05315433070063591, 0.02203156240284443, -0.03437034413218498, 0.017549686133861542, 0.0...
dccuchile/bert-base-spanish-wwm-cased-finetuned-qa-mlqa
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
5
2023-01-17T17:57:38Z
--- 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 ...
[ -0.03947656974196434, -0.016209056600928307, -0.016562899574637413, 0.03654353320598602, 0.04834790900349617, -0.004617006983608007, -0.01326788030564785, -0.024648990482091904, -0.030934400856494904, 0.05412178486585617, 0.02268294431269169, -0.03277682512998581, 0.018114950507879257, 0.0...
dccuchile/bert-base-spanish-wwm-cased-finetuned-xnli
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- 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...
[ -0.03206026554107666, -0.0032646413892507553, -0.019448542967438698, 0.05057111755013466, 0.04080825299024582, 0.02571122720837593, -0.00223820423707366, -0.035776905715465546, -0.027209579944610596, 0.047925129532814026, 0.02350539341568947, -0.005218057427555323, 0.019652996212244034, 0....