modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
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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
2023-03-18T06:57:51Z
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: it datasets: - lmqg/qg_itquad pipeline_tag: text2text-generation tags: - question generation widget: - text: "<hl> Dopo il 1971 <hl> , l' OPEC ha tardato ad adeguare i prezzi per riflettere tale deprezzamento." example_titl...
[ 0.03482232242822647, -0.0033277629408985376, -0.0033123495522886515, 0.008994139730930328, 0.0657995268702507, -0.0035843844525516033, 0.009182155132293701, -0.00773593271151185, -0.05424445867538452, 0.05593980848789215, 0.02626621164381504, -0.015690216794610023, -0.018259180709719658, 0...
BatuhanYilmaz/marian-finetuned-kde4-en-to-fr
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
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Belin/T5-Terms-and-Conditions
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: afl-3.0 language: - fr --- Finetuned from [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self). # Installation 1. PyTorch installation: https://pytorch.org/ 2. Install transformers: https://huggingface.co/docs/transformers/installation e.g., installation...
[ -0.066399946808815, -0.015994960442185402, -0.019528858363628387, 0.027225859463214874, 0.03158465027809143, 0.01771690882742405, -0.003201655577868223, -0.014322860166430473, -0.02389882318675518, 0.05081648752093315, 0.05001962557435036, 0.00824902392923832, -0.0116281034424901, 0.048670...
BenQLange/HF_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
null
--- library_name: keras --- ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: | Hyperparameters ...
[ -0.024320969358086586, -0.03683023899793625, -0.019617414101958275, 0.0112970732152462, 0.02282124012708664, -0.005281589925289154, -0.013757837936282158, -0.011423204094171524, -0.036332882940769196, 0.053165633231401443, 0.0031332510989159346, -0.043778859078884125, 0.026582393795251846, ...
Beri/legal-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...
10
null
--- tags: - generated_from_trainer metrics: - precision - recall model-index: - name: helper2 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. --> # helper2 This mod...
[ -0.01871579699218273, 0.007142618764191866, 0.004949064925312996, 0.030568595975637436, 0.01697724498808384, 0.008130382746458054, -0.012215100228786469, -0.025228895246982574, -0.04614977911114693, 0.05811867490410805, 0.015170112252235413, -0.0319557748734951, 0.004831219557672739, 0.042...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi3-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: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy model-index: - name: my_awesome_model results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text split: test args: pla...
[ -0.024646027013659477, -0.017753206193447113, -0.01527415495365858, 0.04255672171711922, 0.029605859890580177, 0.023441163823008537, -0.014228781685233116, -0.02663496322929859, -0.020605644211173058, 0.07315004616975784, 0.04558572545647621, 0.004571698140352964, -0.006128924433141947, 0....
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: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### sketch-of-an-animal Dreambooth model trained by laserchalk 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 A1...
[ -0.036947526037693024, -0.00029341166373342276, -0.03249919414520264, 0.024215709418058395, 0.044190291315317154, 0.014424530789256096, 0.002346449764445424, -0.007133499253541231, -0.020352795720100403, 0.04608829319477081, 0.015728138387203217, -0.006978484336286783, -0.036253467202186584,...
Biasface/DDDC2
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 instance_prompt: a photo of girl tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - hpAreS/my-girl-model These are LoRA adaption weights for runwayml/stable-...
[ -0.04026660695672035, -0.026674911379814148, -0.019887927919626236, 0.031735341995954514, 0.029903437942266464, -0.005337193608283997, -0.004725244827568531, -0.00047232393990270793, -0.014618901535868645, 0.06922518461942673, 0.010439296253025532, -0.022587236016988754, -0.01736489310860634...
BigSalmon/Flowberta
[ "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...
13
null
--- license: apache-2.0 tags: - text2text-generation pipeline_tag: text2text-generation language: - zh - en widget: - text: |- Human: 使用python写一个二分查找的代码 Assistant: example_title: code zh - text: >- Human: Classify the sentiment of the following sentence into Positive, Neutral, or Negative: Supe...
[ -0.021635599434375763, 0.0066172038204967976, -0.0015479077119380236, 0.07107017934322357, 0.03393150120973587, 0.02882857248187065, -0.007609040010720491, -0.004212144762277603, -0.037007372826337814, 0.05291145294904709, 0.011274239048361778, -0.032762691378593445, 0.02372441440820694, 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
--- license: apache-2.0 tags: - text2text-generation pipeline_tag: text2text-generation language: - zh - en widget: - text: |- Human: 使用python写一个二分查找的代码 Assistant: example_title: code zh - text: >- Human: Classify the sentiment of the following sentence into Positive, Neutral, or Negative: Supe...
[ -0.021633848547935486, 0.0067940098233520985, -0.0013863473432138562, 0.07103992253541946, 0.034047115594148636, 0.028662580996751785, -0.007186494767665863, -0.003968227654695511, -0.036462970077991486, 0.053297411650419235, 0.011037569493055344, -0.03341573104262352, 0.02364208735525608, ...
BigSalmon/FormalBerta3
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
null
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image inference: true extra_gated_prompt: |- This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies: 1. ...
[ -0.005502939224243164, -0.005008580628782511, -0.02360573224723339, 0.017010264098644257, 0.027277814224362373, 0.017717674374580383, 0.01431097649037838, 0.0014691910473629832, -0.0119934706017375, 0.05227186903357506, 0.016790397465229034, -0.00857327226549387, 0.008756771683692932, 0.04...
BigSalmon/FormalRobertaa
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
5
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...
[ -0.02047496661543846, -0.01491028256714344, -0.007513257674872875, 0.0239532720297575, 0.04727427288889885, -0.002085053827613592, -0.01827184110879898, 0.006269275210797787, -0.036268170922994614, 0.05301043763756752, 0.015101864002645016, -0.008174394257366657, 0.012409955263137817, 0.02...
BigSalmon/FroBurta
[]
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: - germanquad model-index: - name: bert-base-german-cased-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 t...
[ -0.025116123259067535, -0.002250294666737318, -0.01827659271657467, 0.05063483491539955, 0.02835758775472641, 0.01795542612671852, -0.02353266254067421, -0.0032440233044326305, -0.04093834385275841, 0.04894348233938217, -0.003674454055726528, -0.030920259654521942, 0.020688306540250778, 0....
BigSalmon/GPTNeo350MInformalToFormalLincoln2
[ "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...
8
2023-03-18T09:16:30Z
--- 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: 7.50 +/- 2.63 ...
[ -0.01955205574631691, -0.014880750328302383, -0.00819008145481348, 0.025425581261515617, 0.045290496200323105, 0.0008141965954564512, -0.01888168789446354, 0.007277831435203552, -0.03682689741253853, 0.055101942270994186, 0.01807495579123497, -0.005999569781124592, 0.012706102803349495, 0....
BigSalmon/GPTT
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: combine-20-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.024898340925574303, 0.0020982937421649694, 0.009876016527414322, 0.022935694083571434, 0.022045213729143143, 0.02066277153789997, -0.01971529982984066, -0.016977285966277122, -0.02652745135128498, 0.05298228934407234, 0.030470333993434906, -0.043126314878463745, 0.012864123098552227, 0....
BigSalmon/InformalToFormalLincoln16
[ "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...
8
null
--- license: other language: - ja tags: - 菅義偉 - Former Japanese Prime Minister - Suga - SugaYoshihide - Yoshihide ---
[ 0.013745258562266827, -0.023104975000023842, 0.00043861716403625906, 0.007746861316263676, 0.041097626090049744, 0.014796489849686623, 0.007674018852412701, 0.003971891477704048, -0.03327936679124832, 0.05198051407933235, 0.03993137180805206, 0.006594197358936071, 0.057284221053123474, 0.0...
BigSalmon/InformalToFormalLincoln18
[ "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...
8
2023-03-18T09:43:32Z
--- 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...
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BigSalmon/InformalToFormalLincoln20
[ "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...
8
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: combine-40-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
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BigSalmon/InformalToFormalLincoln24
[ "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...
5
null
--- license: creativeml-openrail-m --- Please see https://civitai.com/models/21305/tenten-character-lohafullckpt #### Trigger words Character names and styles are separated by `;` - Algard - Algard shota - Anisphia - Anisphia loli - Euphyllia - Grantz - Illya - Lainie - Lumielle - Orfans - Sylphine - Tilty - aniscr...
[ 0.01013815775513649, -0.0019939562771469355, -0.026307320222258568, 0.048453763127326965, 0.03791382536292076, 0.0003052780812140554, 0.0008485387661494315, 0.002642348175868392, -0.017893344163894653, 0.05610032007098198, 0.019748836755752563, -0.014097529463469982, 0.03690433129668236, 0...
BigSalmon/InformalToFormalLincolnDistilledGPT2
[ "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...
7
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.0292340237647295, 0.01823023334145546, 0.003660630900412798, 0.009176398627460003, 0.04400138556957245, -0.01899772323668003, -0.021622175350785255, -0.015784479677677155, -0.029898837208747864, 0.0846095085144043, 0.01731882616877556, -0.008446605876088142, 0.017369555309414864, 0.0164...
BigSalmon/MrLincoln11
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Saifullah-S results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # Saifullah-S This mode...
[ -0.012418697588145733, -0.019453909248113632, -0.011758296750485897, 0.02109287679195404, 0.030257754027843475, 0.02314579300582409, -0.023517105728387833, 0.002166004618629813, -0.05420343205332756, 0.06008186563849449, 0.016065871343016624, -0.020630406215786934, 0.02070590667426586, 0.0...
BigSalmon/MrLincoln125MNeo
[ "pytorch", "tensorboard", "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...
12
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: combine-60-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.025374773889780045, 0.00363619695417583, 0.007030091714113951, 0.02415456809103489, 0.024610713124275208, 0.018644973635673523, -0.02044001966714859, -0.017156563699245453, -0.02663581259548664, 0.051939334720373154, 0.029653504490852356, -0.04648691788315773, 0.012004424817860126, 0.03...
BigSalmon/MrLincoln5
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.03988455608487129, 0.01612287200987339, 0.014644835144281387, 0.017341140657663345, 0.048789337277412415, -0.013774799183011055, -0.01953706704080105, -0.02430572919547558, -0.017935000360012054, 0.06792808324098587, 0.03564145788550377, -0.008049223572015762, 0.011203176341950893, -0.0...
BigSalmon/MrLincoln7
[]
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: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.05393216758966446, 0.0010215318761765957, -0.0032759499736130238, 0.050827253609895706, 0.024168359115719795, 0.03091478906571865, -0.008939048275351524, -0.021746110171079636, -0.0015751990722492337, 0.04953751340508461, 0.02220376580953598, -0.012877999804913998, 0.008233029395341873, ...
BigSalmon/MrLincolnBerta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
8
null
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: it datasets: - lmqg/qg_itquad pipeline_tag: text2text-generation tags: - question generation widget: - text: "<hl> Dopo il 1971 <hl> , l' OPEC ha tardato ad adeguare i prezzi per riflettere tale deprezzamento." example_titl...
[ 0.03457120060920715, -0.0025901433546096087, -0.002476457040756941, 0.008583376184105873, 0.06457579135894775, -0.004169533960521221, 0.008436454460024834, -0.007741233333945274, -0.05448165908455849, 0.05648592859506607, 0.02581671066582203, -0.01563156396150589, -0.018346017226576805, 0....
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
2023-03-18T10:41:19Z
https://huggingface.co/kojima-r/wav2vec2-base-birddb-small ``` import librosa import torch from transformers import Wav2Vec2ForPreTraining,Wav2Vec2Processor sound_file = 'sample.wav' sound_data,_ = librosa.load(sound_file, sr=16000) model_id = "kojima-lab/Cd_kahakuDB" model = Wav2Vec2ForPreTraining.from_pretrained(m...
[ -0.050472307950258255, -0.024781202897429466, -0.02267867513000965, 0.0434897243976593, 0.030784234404563904, 0.008786829188466072, 0.006201600190252066, -0.0032505725976079702, -0.02983929216861725, 0.03973962366580963, 0.008600582368671894, -0.019599171355366707, 0.01104529295116663, 0.0...
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: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: pixelcopter-unit4-lr98e-5 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0...
[ -0.04296451061964035, 0.015036432072520256, 0.013121092692017555, 0.02170398458838463, 0.05002349242568016, -0.012187322601675987, -0.02012050338089466, -0.029091890901327133, -0.018853288143873215, 0.06566990166902542, 0.03470904752612114, -0.007948287762701511, 0.009057711809873581, -0.0...
BigSalmon/Points
[ "pytorch", "tensorboard", "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...
13
2023-03-18T10:53:24Z
--- license: mit tags: - generated_from_trainer datasets: - germanquad model-index: - name: gelectra-base-germanquad-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...
[ -0.02921532280743122, -0.014206952415406704, -0.005240100435912609, 0.023956652730703354, 0.023095712065696716, 0.02717621438205242, -0.023900777101516724, 0.015124671161174774, -0.03900250047445297, 0.05462704971432686, 0.01179939229041338, -0.023744642734527588, 0.008625068701803684, 0.0...
BigSalmon/Robertsy
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
2023-03-18T10:59:22Z
--- 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 ...
[ -0.03973708301782608, -0.016031891107559204, -0.015383540652692318, 0.036078743636608124, 0.04788300395011902, -0.006271088495850563, -0.013222579844295979, -0.02463606186211109, -0.030628640204668045, 0.05498025566339493, 0.0221389252692461, -0.03311762586236, 0.018147476017475128, 0.0153...
BigSalmon/T5F
[ "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...
6
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02221311628818512, -0.005648882128298283, 0.010830480605363846, 0.039020489901304245, 0.03219498321413994, 0.014148007147014141, -0.02875307761132717, -0.01633542776107788, -0.015089650638401508, 0.06039417162537575, 0.005658009089529514, 0.0017807235708460212, 0.010939880274236202, 0.0...
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
null
--- tags: - sentence-transformers - feature-extraction - transformers - sentence-similarity --- # pushpdeep/sberthindi This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. <...
[ -0.03949156776070595, -0.02444259449839592, -0.01927069202065468, 0.04888908565044403, 0.00572947459295392, 0.047017499804496765, -0.018629474565386772, -0.009930973872542381, -0.0635317862033844, 0.08117025345563889, 0.037048522382974625, 0.012918168678879738, 0.0005880682147108018, 0.040...
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
A merged model designed to create TRUE ART. This model was originally published on CIVITAI on March 7, 2023. But unfortunately, it was soon attacked by fanatical mobs of ultra-left progressiveism, and forced the platform to delete the original page. It combines 64 excellent models published on CIVITAI that highly adap...
[ 0.002671490190550685, -0.026022516191005707, -0.01856531947851181, 0.04066180810332298, 0.03992955759167671, 0.016541585326194763, 0.008169867098331451, -0.017603183165192604, -0.00596831226721406, 0.053681451827287674, 0.07294102013111115, 0.001076200744137168, 0.016803372651338577, 0.047...
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: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: pixelcopter-v1-v5-1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 m...
[ -0.04199133813381195, 0.01359578873962164, 0.014486439526081085, 0.019772112369537354, 0.04898058995604515, -0.01355801708996296, -0.019889825955033302, -0.02890939451754093, -0.017070302739739418, 0.06536571681499481, 0.035837702453136444, -0.007388623896986246, 0.00781349465250969, -0.00...
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
2023-03-18T11:58:23Z
--- 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 ...
[ -0.03753281384706497, -0.0030526511836797, -0.005079742521047592, 0.025754094123840332, 0.04568633809685707, -0.02108028158545494, -0.005041660740971565, -0.027892502024769783, -0.03360505774617195, 0.06642530113458633, 0.03257594630122185, -0.02372795343399048, 0.023078592494130135, 0.001...
BlightZz/MakiseKurisu
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
null
--- 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 ...
[ -0.04563964903354645, -0.001699853572063148, -0.022392073646187782, 0.03235040605068207, 0.04416152462363243, 0.018050333485007286, -0.01855992153286934, -0.030501434579491615, -0.03730503097176552, 0.06919271498918533, 0.02180815488100052, 0.0034261245746165514, 0.014822977595031261, 0.02...
BobBraico/bert-finetuned-ner
[]
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...
[ -0.015469671227037907, -0.01795017533004284, -0.006016423460096121, 0.029508870095014572, 0.0518517792224884, -0.01974628120660782, -0.011644164100289345, -0.00849215593189001, -0.05769028142094612, 0.054469719529151917, -0.0022639348171651363, -0.010426671244204044, 0.024672823026776314, ...
Brayan/CNN_Brain_Tumor
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: pixelcopter-v1-v5-2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 m...
[ -0.042059727013111115, 0.013995151966810226, 0.014485407620668411, 0.019816474989056587, 0.04938994348049164, -0.013529583811759949, -0.020110104233026505, -0.02906941808760166, -0.016951829195022583, 0.06576762348413467, 0.03668089210987091, -0.007866295985877514, 0.008489486761391163, -0...
Buntan/xlm-roberta-base-finetuned-marc-en
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-18T14:06:23Z
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: ru datasets: - lmqg/qg_ruquad pipeline_tag: text2text-generation tags: - question generation widget: - text: "Нелишним будет отметить, что, развивая это направление, Д. И. Менделеев, поначалу априорно выдвинув идею о температ...
[ 0.020354365929961205, -0.0137364836409688, -0.012964794412255287, 0.04033716395497322, 0.06566494703292847, 0.0009796959348022938, -0.01334864366799593, 0.002816751366481185, -0.05023055151104927, 0.035831134766340256, 0.041250575333833694, -0.01649322547018528, -0.00885536428540945, 0.028...
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
16,451
null
--- tags: - CartPole-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQPN_freq results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics:...
[ -0.016470888629555702, -0.00040439580334350467, -0.0054077510721981525, 0.03605957329273224, 0.03050561062991619, -0.024689162150025368, -0.007574284914880991, -0.019304875284433365, -0.027127567678689957, 0.061210982501506805, -0.003357821609824896, -0.009530037641525269, -0.010842183604836...
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
--- tags: - CartPole-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQPN_freq results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics:...
[ -0.01652936078608036, -0.0007000825135037303, -0.005099947098642588, 0.03612493723630905, 0.030711233615875244, -0.023847976699471474, -0.0069482531398534775, -0.019236648455262184, -0.027490874752402306, 0.05991040915250778, -0.0036903948057442904, -0.010245009325444698, -0.0116273025050759...
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
54
2023-03-18T14:11:16Z
--- tags: - CartPole-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQPN_freq results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics:...
[ -0.017043575644493103, -0.0008188912179321051, -0.005138326436281204, 0.03618491813540459, 0.03037109784781933, -0.024008873850107193, -0.007271460257470608, -0.019291909411549568, -0.0270532313734293, 0.06059490889310837, -0.0038120646495372057, -0.009171479381620884, -0.011955385096371174,...
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "has_space" ]
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...
19,850
null
--- tags: - CartPole-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQPN_freq results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics:...
[ -0.01680213212966919, -0.0007697151158936322, -0.005476257298141718, 0.03601020574569702, 0.03119244985282421, -0.0241553857922554, -0.007041162811219692, -0.01911771483719349, -0.027175072580575943, 0.060213807970285416, -0.0036079082638025284, -0.010033986531198025, -0.011621632613241673, ...
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
--- tags: - CartPole-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQPN_freq results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics:...
[ -0.0173709224909544, -0.001127673895098269, -0.005863250233232975, 0.037166740745306015, 0.031224312260746956, -0.024154728278517723, -0.006873151753097773, -0.019589891657233238, -0.026371756568551064, 0.05976434424519539, -0.0034673670306801796, -0.010522488504648209, -0.01101660169661045,...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
45
null
--- tags: - CartPole-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQPN_freq results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics:...
[ -0.01717049442231655, -0.0010633585043251514, -0.0046335202641785145, 0.037067558616399765, 0.030993154272437096, -0.024550626054406166, -0.0069064912386238575, -0.019357576966285706, -0.025860169902443886, 0.060655806213617325, -0.003373296232894063, -0.009605463594198227, -0.01184435468167...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
34
2023-03-18T14:12:42Z
--- tags: - CartPole-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQPN_freq results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics:...
[ -0.01741819642484188, -0.0007053102017380297, -0.005806441884487867, 0.03735728934407234, 0.030956173315644264, -0.02385433204472065, -0.006504218094050884, -0.019953031092882156, -0.026896782219409943, 0.05936407670378685, -0.0030462455470114946, -0.011222964152693748, -0.011145031079649925...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
63
null
--- tags: - CartPole-v1 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQPN_freq results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics:...
[ -0.01663178950548172, -0.000521179405041039, -0.005944555625319481, 0.0372018963098526, 0.031098373234272003, -0.024014469236135483, -0.006899139378219843, -0.019909167662262917, -0.02673257328569889, 0.06033235788345337, -0.0035162847489118576, -0.010749789886176586, -0.011438684538006783, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
132
2023-03-18T14:32:24Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: reinforce-CartPole results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: me...
[ -0.030572431161999702, 0.017781490460038185, 0.005491375923156738, 0.009963068179786205, 0.044718820601701736, -0.018456166610121727, -0.02374526858329773, -0.017796538770198822, -0.03212592750787735, 0.0847112238407135, 0.016757089644670486, -0.010846240445971489, 0.013150314800441265, 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
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # pushpdeep/sberthindiv2 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks l...
[ -0.03604516014456749, -0.01822439581155777, -0.017313487827777863, 0.049700427800416946, 0.009134885855019093, 0.043594393879175186, -0.019344238564372063, -0.0033475204836577177, -0.06952133029699326, 0.08249949663877487, 0.035891320556402206, 0.014482158236205578, 0.0005355628672987223, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
855
null
--- # 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 VGG19 VGG19BN Model from torchvision.models Used in 'aiornot' classification competition on HuggingFace. ...
[ -0.04942507669329643, -0.011493075639009476, 0.010520124807953835, 0.011261843144893646, 0.012372405268251896, 0.014512463472783566, -0.01936809904873371, -0.021431587636470795, -0.002332747681066394, 0.03694092109799385, 0.032383598387241364, 0.010937572456896305, 0.009221998043358326, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "Arabic", "Dialect", "Egyptian", "Gulf", "Levantine", "Classical Arabic", "MSA", "Modern Standard Arabic", "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...
20,880
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04345082864165306, -0.0025251838378608227, 0.011405414901673794, 0.036589402705430984, 0.02493436262011528, -0.012034705840051174, -0.011068075895309448, -0.02639220654964447, -0.03835579752922058, 0.056234799325466156, 0.03708954155445099, 0.002694113412871957, 0.019271552562713623, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-half
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
null
you guys also could use "Sikinx#6557" remake for this locon, which is also the V2 of this locon, using same DATASET as mine. https://civitai.com/models/21878/ufotable-fate-series-style-loralycoris keywords "anime screencap","ufotable screencap" sink version: ![00001-anything-v4.5-pruned_323620673.png](https://s3.ama...
[ -0.021060876548290253, -0.04261893779039383, 0.002981133060529828, 0.04283476248383522, 0.05725562572479248, -0.016979558393359184, -0.015981147065758705, -0.017796888947486877, -0.01662290282547474, 0.05077001452445984, 0.04099457338452339, 0.000748386315535754, 0.027351684868335724, 0.03...
CAMeL-Lab/bert-base-arabic-camelbert-msa-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...
52
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.029108528047800064, -0.004257911816239357, -0.018673505634069443, 0.05165798217058182, 0.03559141978621483, 0.02667073905467987, -0.0003989882243331522, -0.034995440393686295, -0.026359297335147858, 0.046667519956827164, 0.02706829272210598, -0.00718666473403573, 0.0180001612752676, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
21
null
--- license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - language-and-voice-lab/samromur_children metrics: - wer model-index: - name: Whisper tiny Icelandic Children results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: ...
[ -0.034399256110191345, -0.019750773906707764, 0.008436757139861584, 0.05040682107210159, 0.04663136601448059, -0.0119154779240489, 0.004542877897620201, -0.0065434579737484455, -0.01977260783314705, 0.07414042204618454, 0.03469002991914749, -0.029892072081565857, 0.02775312028825283, 0.038...
CAMeL-Lab/bert-base-arabic-camelbert-msa-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...
133
2023-03-18T14:59:20Z
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.043037403374910355, -0.00321885640732944, 0.010756862349808216, 0.037255510687828064, 0.0251143891364336, -0.012386569753289223, -0.009887367486953735, -0.025227848440408707, -0.03848317638039589, 0.05508389696478844, 0.03775567561388016, 0.0035709708463400602, 0.018763933330774307, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-quarter
[ "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...
12
null
--- tags: - stable_diffusion - checkpoint --- The source of the models is listed below. Please check the original licenses from the source. https://civitai.com/models/6925
[ -0.027676163241267204, -0.015660034492611885, -0.012412847951054573, 0.0006424160092137754, 0.039885081350803375, -0.006190743762999773, 0.04238872602581978, 0.016281036660075188, -0.03676372766494751, 0.06341322511434555, 0.0414997935295105, 0.0009332123445346951, 0.03559863194823265, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-msa
[ "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...
2,967
null
--- license: apache-2.0 datasets: - samsum language: - en library_name: transformers tags: - peft - lora - t5 - flan metrics: - rouge model-index: - name: flan-t5-xxl-samsum-peft results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: samsum ...
[ -0.014426656067371368, -0.021868133917450905, 0.005793213378638029, 0.03681061044335365, 0.023493733257055283, -0.0013893319992348552, -0.028866583481431007, -0.02285231277346611, -0.023470228537917137, 0.0670665055513382, 0.018869441002607346, 0.00154495844617486, 0.003132300451397896, 0....
CAUKiel/JavaBERT-uncased
[ "pytorch", "safetensors", "bert", "fill-mask", "java", "code", "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...
7
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 ...
[ -0.039908427745103836, -0.01661672629415989, -0.016141364350914955, 0.03592100366950035, 0.04842647910118103, -0.0060439333319664, -0.01329112146049738, -0.02364976704120636, -0.02954917773604393, 0.05518290400505066, 0.02136280946433544, -0.03234071657061577, 0.01976933516561985, 0.014354...
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
null
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image - not-for-all-eyes --- # Core ML Converted Model: - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com...
[ -0.02886366844177246, -0.028563886880874634, -0.014301220886409283, 0.022008707746863365, 0.030329430475831032, 0.009450297802686691, 0.0019068174296990037, -0.011588336899876595, -0.025491541251540184, 0.051351647824048996, 0.04102305322885513, 0.0009011070360429585, 0.016457121819257736, ...
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
2023-03-18T15:21:46Z
--- license: apache-2.0 tags: - Image-Classification - generated_from_trainer datasets: - beans metrics: - accuracy widget: - src: >- https://huggingface.co/platzi/platzi-vit-base-beans/resolve/main/healthy.jpeg example_title: Healthy - src: >- https://huggingface.co/platzi/platzi-vit-base-beans/res...
[ -0.0044030360877513885, 0.0024837374221533537, 0.014453600160777569, 0.023177549242973328, 0.03888172283768654, -0.01685381680727005, -0.012123637832701206, -0.012258870527148247, -0.010392892174422741, 0.04689578711986542, -0.007354178931564093, -0.01952063851058483, 0.01807568408548832, ...
CLAck/indo-mixed
[ "pytorch", "marian", "text2text-generation", "en", "id", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
15
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Prgrg/ja-en-JESC-v5.0-wth-lr-decay results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> #...
[ -0.030285827815532684, -0.020551735535264015, -0.0025306858588010073, 0.018687650561332703, 0.038224123418331146, 0.005576543044298887, -0.012363756075501442, -0.00893725361675024, -0.033988106995821, 0.05529571697115898, 0.011434684507548809, -0.04032767936587334, 0.015289277769625187, 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
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### dexechii's-style Dreambooth model trained by Anonim3327 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Model base: Lawlas's Yiffymi...
[ -0.026323970407247543, -0.027612200006842613, -0.006850353442132473, 0.02408153936266899, 0.03906932473182678, 0.00966988317668438, 0.0034189566504210234, -0.007854149676859379, -0.021206839010119438, 0.034700918942689896, 0.030556954443454742, 0.0028828936628997326, -0.009187093004584312, ...
CLTL/MedRoBERTa.nl
[ "pytorch", "roberta", "fill-mask", "nl", "transformers", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
2,988
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: uit-vsfc-xlm-r 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. --> ...
[ -0.020797977223992348, 0.004176978953182697, 0.0052227904088795185, 0.022575151175260544, 0.021557731553912163, 0.022373788058757782, -0.02187948487699032, -0.01800432801246643, -0.028725046664476395, 0.04995506629347801, 0.023699335753917694, -0.041442934423685074, 0.01412383932620287, 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
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.0292340237647295, 0.01823023334145546, 0.003660630900412798, 0.009176398627460003, 0.04400138556957245, -0.01899772323668003, -0.021622175350785255, -0.015784479677677155, -0.029898837208747864, 0.0846095085144043, 0.01731882616877556, -0.008446605876088142, 0.017369555309414864, 0.0164...
CLTL/icf-levels-att
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
32
2023-03-18T15:51:27Z
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.008010032586753368, 0.0049103326164186, -0.016399044543504715, 0.016113338991999626, 0.059055473655462265, -0.028536207973957062, 0.00914306566119194, -0.03350652754306793, -0.026742884889245033, 0.06551957875490189, 0.02673150599002838, -0.02804930880665779, 0.0004891436547040939, 0.02...
CLTL/icf-levels-ber
[ "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
Access to model korp123/looker is restricted and you are not in the authorized list. Visit https://huggingface.co/korp123/looker to ask for access.
[ -0.0560489222407341, -0.002888434799388051, 0.01773468777537346, 0.016751211136579514, 0.036610983312129974, -0.008181468583643436, 0.012284810654819012, -0.007933007553219795, -0.06611093133687973, 0.052433136850595474, 0.02820982225239277, -0.017208125442266464, 0.015076271258294582, 0.0...
CLTL/icf-levels-enr
[ "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: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: synthetic-vsfc-xlm-r 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...
[ -0.02412380836904049, 0.0024460633285343647, 0.005042073782533407, 0.020232489332556725, 0.024016406387090683, 0.02300051786005497, -0.02360869199037552, -0.015033816918730736, -0.028082095086574554, 0.049672629684209824, 0.03165175020694733, -0.04325404018163681, 0.008816400542855263, 0.0...
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
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.030566632747650146, -0.00405653053894639, -0.019052160903811455, 0.05254533886909485, 0.03685927763581276, 0.025512803345918655, -0.0020303817000240088, -0.03561634197831154, -0.024615643545985222, 0.04644814133644104, 0.02850719913840294, -0.008001323789358139, 0.017437808215618134, 0....
CM-CA/DialoGPT-small-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
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04374722018837929, -0.0023123284336179495, 0.011427461169660091, 0.037436481565237045, 0.025368742644786835, -0.011880286037921906, -0.010483013466000557, -0.026699716225266457, -0.0386093407869339, 0.054467469453811646, 0.037395477294921875, 0.0015182871138677, 0.020566828548908234, 0....
CNT-UPenn/Bio_ClinicalBERT_for_seizureFreedom_classification
[ "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
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: synthetic-10-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.02638036198914051, 0.003534509800374508, 0.005635618232190609, 0.01964694820344448, 0.022632787004113197, 0.02570258267223835, -0.024995408952236176, -0.013554183766245842, -0.029145104810595512, 0.05153142660856247, 0.03506636619567871, -0.04202689602971077, 0.0069432808086276054, 0.02...
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
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: synthetic-20-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.025688692927360535, 0.0023404837120324373, 0.003642251016572118, 0.021304070949554443, 0.02431425079703331, 0.022651690989732742, -0.0221469234675169, -0.015478494577109814, -0.02584301121532917, 0.048095278441905975, 0.03713255003094673, -0.04120432212948799, 0.006470012944191694, 0.03...
CSZay/bart
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: synthetic-30-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.029898645356297493, 0.0011324086226522923, 0.00123089668340981, 0.019745569676160812, 0.0269697904586792, 0.019979899749159813, -0.02192521095275879, -0.016886098310351372, -0.024939708411693573, 0.04644618555903435, 0.03535403311252594, -0.041908372193574905, 0.0044421604834496975, 0.0...
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
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: lalina/my_awesome_eli5_mlm_model results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # l...
[ -0.04691286385059357, -0.03186486288905144, 0.010843376629054546, 0.012787452898919582, 0.030262961983680725, 0.010735536925494671, -0.011756214313209057, -0.013230432756245136, -0.030921142548322678, 0.057418834418058395, 0.02602512575685978, -0.026721283793449402, 0.005551551003009081, 0...
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
2023-03-18T16:34:25Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.04024963453412056, 0.015685513615608215, 0.014432667754590511, 0.01729457639157772, 0.0493534617125988, -0.013486328534781933, -0.019696522504091263, -0.023723023012280464, -0.01791897788643837, 0.06808120012283325, 0.03517495468258858, -0.008157128468155861, 0.011142292059957981, -0.00...
Calamarii/calamari
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: synthetic-40-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.032403185963630676, 0.009756304323673248, -0.0024603663478046656, 0.020166270434856415, 0.02425488457083702, 0.023710593581199646, -0.026103470474481583, -0.014117138460278511, -0.025091122835874557, 0.04652345925569534, 0.035697031766176224, -0.04214323312044144, 0.006736957933753729, ...
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
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: yawnznn234/my_awesome_eli5_mlm_model results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> ...
[ -0.04914820194244385, -0.030973361805081367, 0.0071402424946427345, 0.0137240095064044, 0.02878156676888466, 0.026567326858639717, -0.012316467240452766, -0.018073242157697678, -0.023852117359638214, 0.05605984851717949, 0.033902235329151154, -0.025958728045225143, 0.011247091926634312, 0....
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
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...
[ -0.017089826986193657, -0.015673883259296417, -0.006482831668108702, 0.025218652561306953, 0.04754069447517395, -0.004311689175665379, -0.019796019420027733, 0.007211103569716215, -0.03543967381119728, 0.05325739458203316, 0.016772305592894554, -0.008962742984294891, 0.010904780589044094, ...
CalvinHuang/mt5-small-finetuned-amazon-en-es
[ "pytorch", "tensorboard", "mt5", "text2text-generation", "transformers", "summarization", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
summarization
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
16
null
--- tags: - CartPole-v1 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: ...
[ -0.00964675098657608, -0.009678908623754978, -0.026814136654138565, 0.019971119239926338, 0.052801407873630524, -0.0013234736397862434, 0.003527091583237052, -0.015873977914452553, -0.03340510278940201, 0.06994768232107162, -0.006916934624314308, -0.023816950619220734, -0.009245322085916996,...
Cameron/BERT-SBIC-offensive
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: owendoar/my_awesome_eli5_mlm_model results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> #...
[ -0.05240093916654587, -0.02630288153886795, 0.006759100127965212, 0.01077105849981308, 0.029398800805211067, 0.012903383001685143, -0.010196520015597343, -0.01702124811708927, -0.03172256797552109, 0.05782943218946457, 0.029479775577783585, -0.02082613669335842, 0.0028431278187781572, 0.03...
Cameron/BERT-eec-emotion
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
36
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.02978777326643467, -0.003927366808056831, -0.017412809655070305, 0.051451776176691055, 0.03479592502117157, 0.026413507759571075, -0.0013481681235134602, -0.033929791301488876, -0.025064833462238312, 0.04639189690351486, 0.026827799156308174, -0.008232131600379944, 0.017569327726960182, ...
Cameron/BERT-jigsaw-identityhate
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
37
null
--- library_name: keras datasets: - nsanghi/sample-datasets tags: - nature - keras-dreamboot --- ## Model description This is a Stable Diffusion model fine-tuned with Keras using Dreambooth on white breasted nuthatch ## Intended uses & limitations This model is trained for Dreambooth tutorial. ## Training and eval...
[ -0.04164213687181473, -0.01614006794989109, -0.019734369590878487, 0.014814579859375954, 0.048989854753017426, 0.0025217190850526094, -0.010138257406651974, -0.009522637352347374, -0.02818918414413929, 0.06667464226484299, -0.002376236254349351, -0.026123175397515297, 0.0028992320876568556, ...
Cameron/BERT-mdgender-convai-binary
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: synthetic-50-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.027837654575705528, 0.008767185732722282, 0.000870699412189424, 0.01853332296013832, 0.026411425322294235, 0.021535716950893402, -0.030923401936888695, -0.015289828181266785, -0.02859906665980816, 0.047993287444114685, 0.037622369825839996, -0.04498805105686188, 0.0028406784404069185, 0...
Cameron/BERT-mdgender-wizard
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.05327710881829262, 0.002270057098940015, -0.006721263285726309, 0.0510178804397583, 0.025933871045708656, 0.030336610972881317, -0.012016789056360722, -0.023760823532938957, 0.00002103206134052016, 0.05086790770292282, 0.02728387527167797, -0.012975931167602539, 0.006426496431231499, 0....
Cameron/BERT-rtgender-opgender-annotations
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
null
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.0528273768723011, 0.0025129520799964666, -0.004746215883642435, 0.050402991473674774, 0.023681597784161568, 0.031720612198114395, -0.00954684242606163, -0.022078612819314003, -0.00036849227035418153, 0.050438787788152695, 0.02519153244793415, -0.013596133328974247, 0.006390975788235664, ...
Camzure/MaamiBot
[]
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 datasets: - competitions/aiornot language: - en metrics: - accuracy tags: - generative ai - classification --- Classification model used to classify real images and AI generated images.\ The model used is swin-tiny-patch4-window7-224 finetued on aiornot dataset.\ To use the model ``` import tor...
[ -0.022323930636048317, -0.014236203394830227, -0.016223164275288582, 0.03015589714050293, 0.060418907552957535, -0.011496080085635185, -0.026815835386514664, -0.021300282329320908, -0.022635888308286667, 0.057659924030303955, 0.023830657824873924, 0.002211665967479348, -0.009481583721935749,...
Canadiancaleb/DialoGPT-small-walter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
2023-03-18T16:57:38Z
--- license: mit tags: - generated_from_trainer metrics: - precision - recall model-index: - name: synthetic-60-vsfc-xlm-r results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.03182440251111984, 0.005830288864672184, -0.001700231689028442, 0.020959367975592613, 0.023478077724575996, 0.019620543345808983, -0.02778007835149765, -0.013930832967162132, -0.025768371298909187, 0.048782262951135635, 0.03402135521173477, -0.04563375189900398, 0.0016436821315437555, 0...
Canadiancaleb/jessebot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-18T16:59:27Z
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.008822645992040634, 0.006043550092726946, -0.016767850145697594, 0.016413714736700058, 0.05887775495648384, -0.028418272733688354, 0.008183698169887066, -0.03383401781320572, -0.02636580914258957, 0.06661707162857056, 0.028945673257112503, -0.027673399075865746, -0.0004942778614349663, ...
Canyonevo/DialoGPT-medium-KingHenry
[]
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: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.052029799669981, 0.0015642259968444705, -0.005736347287893295, 0.05024239793419838, 0.023421548306941986, 0.031017383560538292, -0.009592222981154919, -0.02315574511885643, -0.0011744272196665406, 0.0505262166261673, 0.025172730907797813, -0.01176285557448864, 0.006166705396026373, 0.02...
Capreolus/birch-bert-large-msmarco_mb
[ "pytorch", "tf", "jax", "bert", "next-sentence-prediction", "transformers" ]
null
{ "architectures": [ "BertForNextSentencePrediction" ], "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...
1
null
--- license: apache-2.0 tags: - llama - lora - alpaca - 13b --- # Alpaca-LoRA 13B This repo contains a Low-Rank Adapter (LoRA) for LLaMA 13B fit on the [cleaned](https://github.com/tloen/alpaca-lora/commit/f7044049ab7916d38cbc84d16b323a8ecb1c6b58#diff-98320406f0dfb2be23a93a52b2532d898e486f1241d76dcd54a5d031ccb756fc) [...
[ -0.0418606773018837, 0.008273889310657978, -0.0006779096438549459, 0.029137244448065758, 0.04667393118143082, -0.0009167138487100601, -0.024390356615185738, 0.0017483254196122289, -0.013387193903326988, 0.06004970520734787, 0.014926272444427013, -0.03788842633366585, 0.026927104219794273, ...
Captain-1337/CrudeBERT
[ "pytorch", "bert", "text-classification", "arxiv:1908.10063", "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
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: vit-base-aiornot 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. --> # vit-base-aiornot ...
[ -0.05508948117494583, -0.01664191111922264, 0.0010721911676228046, 0.01326260156929493, 0.02814629301428795, -0.00018844360602088273, -0.016846321523189545, -0.024624934419989586, -0.04281996563076973, 0.04316306486725807, 0.028426066040992737, -0.00804577860981226, 0.030839229002594948, 0...
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
null
--- tags: - stable_diffusion - lora --- The source of the models is listed below. Please check the original licenses from the source. https://civitai.com/models/16602
[ -0.04503867030143738, -0.010463723912835121, -0.011954613029956818, 0.023315684869885445, 0.03796764835715294, -0.016294561326503754, 0.024931618943810463, 0.0010554512264207006, -0.027183305472135544, 0.058011651039123535, 0.03534978628158569, -0.012185114435851574, 0.022354748100042343, ...
Carlork314/Xd
[]
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 pipeline_tag: question-answering tags: - question-answering - transformers - generated_from_trainer datasets: - squad_v2 - LLukas22/nq-simplified language: - en --- # all-MiniLM-L12-v2-qa-en This model is an extractive qa model. It's a fine-tuned version of [all-MiniLM-L12-v2](https://huggingfa...
[ -0.00907309539616108, -0.03140374645590782, -0.005493077915161848, 0.04766451194882393, 0.029595019295811653, 0.006723752710968256, -0.007723016198724508, 0.014307012781500816, -0.04669187590479851, 0.041885845363140106, 0.021253371611237526, 0.005852696020156145, 0.007093891501426697, 0.0...
Carolhuehuehuehue/Sla
[]
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: - stable_diffusion - lora --- The source of the models is listed below. Please check the original licenses from the source. https://civitai.com/models/12324
[ -0.046248164027929306, -0.01092500053346157, -0.013265157118439674, 0.023772215470671654, 0.038188207894563675, -0.015660738572478294, 0.02558927610516548, 0.0016330268699675798, -0.02749023586511612, 0.05670851841568947, 0.03568069636821747, -0.011797537095844746, 0.02220730483531952, 0.0...
CasualHomie/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: es datasets: - lmqg/qg_esquad pipeline_tag: text2text-generation tags: - question answering widget: - text: "question: ¿Cuál es la población de Nueva York a partir de 2014?, context: Situada en uno de los mayores puertos natu...
[ -0.013921335339546204, -0.012052416801452637, -0.012354107573628426, 0.01787615567445755, 0.030971253290772438, 0.022009896114468575, 0.002698949771001935, -0.0055091422982513905, -0.032114628702402115, 0.029258789494633675, 0.005228071473538876, 0.009083486162126064, 0.027676673606038094, ...
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
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04085449501872063, 0.00006036293780198321, 0.011592491529881954, 0.03188613802194595, 0.027436379343271255, -0.0093998983502388, -0.01147264614701271, -0.02409420721232891, -0.03844927251338959, 0.05712611973285675, 0.03789030387997627, -0.00015745230484753847, 0.021182997152209282, 0.0...
Cedille/fr-boris
[ "pytorch", "gptj", "text-generation", "fr", "dataset:c4", "arxiv:2202.03371", "transformers", "causal-lm", "license:mit", "has_space" ]
text-generation
{ "architectures": [ "GPTJForCausalLM" ], "model_type": "gptj", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
401
null
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image - not-for-all-eyes --- # Core ML Converted Model: - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com...
[ -0.030767949298024178, -0.02167447656393051, -0.02139291726052761, 0.015799053013324738, 0.02567112073302269, 0.007211572956293821, 0.004609937779605389, -0.011066102422773838, -0.021494783461093903, 0.050362568348646164, 0.03297101706266403, 0.002649519359692931, 0.012825487181544304, 0.0...
dccuchile/albert-base-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...
34
null
--- pipeline_tag: text2text-generation --- # Further instruct Tuning stanford alpaca based on <a href="https://huggingface.co/tloen/alpaca-lora-7" target="_blank">tloen/alpaca-lora-7b</a> on <a href="https://www.consumptionvoucher.gov.hk/public/pdf/2023cvs/FAQ-2023_en.pdf" target="_blank">Hong Kong 2023 Consumption Vou...
[ -0.001016055466607213, -0.03407919034361839, 0.0023168870247900486, 0.0451582595705986, 0.04736090451478958, 0.031450457870960236, -0.013887067325413227, -0.014998913742601871, -0.03279153257608414, 0.06375454366207123, 0.04290182888507843, -0.004164655227214098, -0.006439416203647852, 0.0...
dccuchile/albert-base-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...
14
null
--- license: creativeml-openrail-m language: - ja pipeline_tag: text-to-image tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image library_name: diffusers --- # Riga_collectionとは?<br> Riga_collectionは様々なモデルをマージしたモデルです<br> HimawariMixと同じで背景や細部の表現が強いモデルです<br> イメージ的にはHimawariMixをりがさんのアイディアを元にチューニングしたような...
[ 0.006510142702609301, -0.02087356150150299, -0.015961257740855217, 0.02201358787715435, 0.0615602508187294, 0.011544845998287201, 0.008693867363035679, -0.002286676550284028, -0.018379144370555878, 0.055562879890203476, 0.03566626459360123, -0.008622034452855587, 0.004362409468740225, 0.05...
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
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.02988409623503685, -0.004652714356780052, -0.01757340505719185, 0.051814667880535126, 0.03595128282904625, 0.026573237031698227, -0.0009200217318721116, -0.03432897478342056, -0.02485658973455429, 0.04636426270008087, 0.025006592273712158, -0.009738894179463387, 0.01778532564640045, 0.0...
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: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: flan-t5-small-gss 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. --> # ...
[ -0.01751451939344406, -0.011287322267889977, -0.003645876422524452, 0.04447107017040253, 0.04016285762190819, -0.013329828158020973, -0.021006911993026733, -0.0016575641930103302, -0.03725404664874077, 0.0394967719912529, 0.009822370484471321, -0.020684272050857544, 0.002799284178763628, 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
null
--- license: apache-2.0 tags: - text-classification - generated_from_trainer datasets: - glue metrics: - accuracy - f1 widget: - text: ["Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for $ 2.5 billion.", "Yucaipa bought Dominick's in 1995 for $ 693 million and sold it to Safeway for $ 1.8 bill...
[ -0.024822944775223732, -0.00013591446622740477, -0.0008573026861995459, 0.04266505688428879, 0.04840826615691185, 0.011882743798196316, 0.007857552729547024, 0.0075491080060601234, -0.052159633487463, 0.05534505099058151, 0.007019687443971634, -0.030454382300376892, 0.005922179203480482, 0...