modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
card
stringlengths
51
438k
embedding
list
alexandrainst/da-emotion-classification-base
[ "pytorch", "tf", "bert", "text-classification", "da", "transformers", "license:cc-by-sa-4.0" ]
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...
837
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). ...
[ -0.051089104264974594, 0.0009554578573442996, -0.005160477012395859, 0.049711573868989944, 0.02609202265739441, 0.030683305114507675, -0.009565327316522598, -0.02240353263914585, -0.001575595699250698, 0.050138384103775024, 0.023365825414657593, -0.012589612044394016, 0.0058686756528913975, ...
Davlan/bert-base-multilingual-cased-masakhaner
[ "pytorch", "tf", "bert", "token-classification", "arxiv:2103.11811", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
88
null
--- tags: - autotrain - text-classification language: - en widget: - text: I love AutoTrain 🤗 datasets: - AyoubChLin/autotrain-data-longformer - SetFit/bbc-news co2_eq_emissions: emissions: 1.738487465928671 license: apache-2.0 metrics: - accuracy pipeline_tag: text-classification --- # Model Trained Using AutoTrai...
[ -0.015751797705888748, -0.022082079201936722, -0.005000688135623932, 0.03102833218872547, 0.04123719409108162, 0.02832534722983837, -0.03565121069550514, -0.015134292654693127, -0.0390033982694149, 0.08286905288696289, 0.014782492071390152, 0.015506898052990437, 0.0020359500776976347, 0.02...
Davlan/byt5-base-eng-yor-mt
[ "pytorch", "t5", "text2text-generation", "arxiv:2103.08647", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
11
null
--- license: openrail --- import openai import json import boto3 # Configurar a API do OpenAI openai.api_key = 'SUA_CHAVE_API_DO_OPENAI' # Configurar a API da AWS (Amazon Web Services) s3 = boto3.client('s3') bucket_name = 'SEU_NOME_DE_BUCKET' # Recuperar o modelo treinado do Hugging Face modelo = openai.Model.load(...
[ -0.026948440819978714, -0.03395294398069382, 0.005868854466825724, 0.03384356573224068, 0.04462709277868271, 0.027741076424717903, -0.01839696429669857, -0.021417800337076187, -0.038721147924661636, 0.054450955241918564, 0.013641972094774246, -0.007498643361032009, 0.014295155182480812, 0....
Davlan/xlm-roberta-base-finetuned-chichewa
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
5
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.04023471474647522, -0.0020637577399611473, -0.006777206901460886, 0.04646529257297516, 0.025548962876200676, 0.020638898015022278, -0.025939416140317917, -0.0326751209795475, -0.003952669911086559, 0.04944256320595741, 0.020561525598168373, -0.014120560139417648, 0.019116008654236794, 0...
Davlan/xlm-roberta-large-masakhaner
[ "pytorch", "tf", "xlm-roberta", "token-classification", "arxiv:2103.11811", "transformers", "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, ...
1,449
2023-04-12T20:05:44Z
--- 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). ...
[ -0.0492909736931324, -0.00022135023027658463, -0.0046004182659089565, 0.05114671587944031, 0.02504117228090763, 0.033000968396663666, -0.01208446454256773, -0.021824616938829422, -0.0008400612277910113, 0.05113596096634865, 0.024546116590499878, -0.011051311157643795, 0.006407075095921755, ...
Dawit/DialogGPT-small-ironman
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- language: - es - mim license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: byt5-base-es_mim 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 th...
[ -0.0183459110558033, -0.004574636463075876, -0.0035674641840159893, 0.041179947555065155, 0.025185037404298782, 0.004519847687333822, -0.021575046703219414, -0.011873281560838223, -0.02331123687326908, 0.038174327462911606, 0.007085965480655432, -0.04921285808086395, -0.007170139811933041, ...
Dawn576/Dawn
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: parsed_csm_tool_model 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. -->...
[ -0.013453143648803234, -0.009862933307886124, 0.00044529332080855966, 0.031639449298381805, 0.035219691693782806, -0.004369199275970459, -0.03471428155899048, -0.013028969056904316, -0.03554035723209381, 0.048985570669174194, 0.01635594107210636, -0.025066319853067398, -0.002636740682646632,...
Dbluciferm3737/Idk
[]
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
2023-04-12T20:23:34Z
--- 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...
[ -0.022263454273343086, -0.005248206667602062, 0.010343583300709724, 0.039088066667318344, 0.03174196928739548, 0.014968796633183956, -0.028337907046079636, -0.015537211671471596, -0.015049643814563751, 0.06098921597003937, 0.006060639396309853, 0.0006717586074955761, 0.01049845665693283, 0...
DeadBeast/emoBERTTamil
[ "pytorch", "tensorboard", "bert", "text-classification", "dataset:tamilmixsentiment", "transformers", "generated_from_trainer", "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...
35
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 --- # Model card for cs3darknet_focus_l.c2ns_in1k A CS3-DarkNet (Cross-Stage-Partial w/ 3 convolutions) image classification model. Trained on ImageNet-1k in `timm` using recipe template described below. Recipe details: * Based on [ResNet ...
[ -0.0070127397775650024, -0.024903513491153717, -0.010458781383931637, 0.03817010298371315, 0.04481302574276924, -0.0005957882385700941, 0.001532786525785923, 0.0023747081868350506, -0.003415363607928157, 0.06369509547948837, 0.020762555301189423, 0.0041357725858688354, -0.015187285840511322,...
DecafNosebleed/scarabot-model
[ "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 --- # Model card for cspdarknet53.ra_in1k A CSP-DarkNet (Cross-Stage-Partial) image classification model. Trained on ImageNet-1k in `timm` using recipe template described below. Recipe details: * RandAugment `RA` recipe. Inspired by and ev...
[ -0.00497419061139226, -0.025981290265917778, -0.008693993091583252, 0.028804970905184746, 0.04782736673951149, -0.0025231195613741875, 0.01094753947108984, 0.007919813506305218, -0.008522070944309235, 0.06222045049071312, 0.022552257403731346, 0.002207065699622035, -0.022603562101721764, 0...
Declan/CNN_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-04-12T20:49:39Z
--- language: - es - ngu license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: byt5-base-es_ngu 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 th...
[ -0.016064705327153206, -0.003779117949306965, -0.0016057637985795736, 0.03884224593639374, 0.027068447321653366, 0.007383550051599741, -0.02008621208369732, -0.014635760337114334, -0.022642232477664948, 0.03711707890033722, 0.0038115354254841805, -0.04684986174106598, -0.006306193303316832, ...
Declan/CNN_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
Access to model Fake-Person/All_fro_lora is restricted and you are not in the authorized list. Visit https://huggingface.co/Fake-Person/All_fro_lora to ask for access.
[ -0.054194748401641846, -0.004318478051573038, -0.010933936573565006, 0.02973051927983761, 0.031369660049676895, 0.006181941833347082, -0.018941020593047142, -0.013246560469269753, -0.010496421717107296, 0.051406342536211014, 0.044501181691884995, 0.00010664001456461847, 0.023863665759563446,...
Declan/CNN_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: mit tags: - generated_from_trainer model-index: - name: Tale_2_Cities 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. --> # Tale_2_Cities This model is...
[ -0.03945609927177429, -0.024001631885766983, -0.011573057621717453, 0.05036936700344086, 0.029936201870441437, 0.00998596753925085, -0.00903228297829628, 0.0027360813692212105, -0.024977480992674828, 0.052041441202163696, 0.040098804980516434, 0.014195085503160954, -0.0015580931212753057, ...
Declan/ChicagoTribune_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- language: - es - sja license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: byt5-base-es_sja 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 th...
[ -0.01600164920091629, -0.003838970325887203, -0.0014635244151577353, 0.03671705722808838, 0.025508848950266838, 0.005605302285403013, -0.02182353101670742, -0.011945708654820919, -0.026675067842006683, 0.03520042449235916, 0.004159254487603903, -0.049942318350076675, -0.009310373105108738, ...
Declan/ChicagoTribune_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- 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 ...
[ -0.04579281434416771, -0.0008248261292465031, -0.021882448345422745, 0.032556504011154175, 0.04379403218626976, 0.01767047680914402, -0.018551088869571686, -0.030916182324290276, -0.037806540727615356, 0.06928281486034393, 0.021752189844846725, 0.0033303205855190754, 0.014795863069593906, ...
Declan/ChicagoTribune_model_v7
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- 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 ...
[ -0.03728337213397026, -0.0025542594958096743, -0.005001189187169075, 0.02549632638692856, 0.045459408313035965, -0.02176908403635025, -0.005375400185585022, -0.02793765999376774, -0.033244453370571136, 0.06658504158258438, 0.03266970068216324, -0.0233396477997303, 0.022742416709661484, 0.0...
Declan/FoxNews_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- 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 ...
[ -0.04079116880893707, -0.015095575712621212, -0.016019131988286972, 0.036830443888902664, 0.04856855794787407, -0.006005693227052689, -0.013940772973001003, -0.02525145560503006, -0.03227643668651581, 0.05415760353207588, 0.021338189020752907, -0.03305865824222565, 0.01833271235227585, 0.0...
Declan/FoxNews_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: other --- # Vicuna 13B 1.1 HF This is an HF version of the [Vicuna 13B 1.1 model](https://huggingface.co/lmsys/vicuna-13b-delta-v1.1). It was created by merging the deltas provided in the above repo with the original Llama 13B model, [using the code provided on their Github page](https://github.com/lm-sy...
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Declan/FoxNews_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- tags: - generated_from_trainer model-index: - name: condor-lora-30b-v1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # condor-lora-30b-v1 This model was t...
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Declan/FoxNews_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- language: - en pipeline_tag: text-classification --- # Span NLI BERT (large) This is a **BERT-large** model ([`bert-large-uncased-whole-word-masking`][2]) fine-tuned on the [**ContractNLI**][3] dataset (non-disclosure agreements) with the **Span NLI BERT** model architecture, from [*ContractNLI: A Dataset for D...
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Declan/FoxNews_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: label_title_csm_model 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. -->...
[ -0.00790136307477951, 0.004733980167657137, -0.001754131750203669, 0.04255203157663345, 0.052257515490055084, -0.006045390386134386, -0.032345086336135864, -0.02460206113755703, -0.027144478633999825, 0.04903150349855423, 0.01958705298602581, -0.0183853842318058, 0.00997233297675848, 0.039...
Declan/FoxNews_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- language: - es - cbv license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: byt5-base-es_cbv 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 th...
[ -0.01692727953195572, -0.0007619705284014344, 0.0007529204012826085, 0.034755170345306396, 0.026519184932112694, 0.001595381530933082, -0.019092245027422905, -0.011905287392437458, -0.023628002032637596, 0.035165879875421524, 0.0019289696356281638, -0.0443810410797596, -0.006248684599995613,...
Declan/HuffPost_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- language: - am tags: - speech - audio - audio-classification - hubert pipeline_tag: audio-classification --- model_name_or_path = "quaja/hubert-base-amharic-speech-emotion-recognition" config = AutoConfig.from_pretrained(model_name_or_path) feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(model_name_or...
[ -0.03558405488729477, -0.027421792969107628, -0.04170626029372215, 0.049482230097055435, 0.054651666432619095, 0.039030514657497406, 0.00003083449701080099, -0.02029431238770485, -0.03614404425024986, 0.06962042301893234, 0.027706291526556015, -0.03371081501245499, -0.010485576465725899, 0...
Declan/HuffPost_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: other --- # Vicuna 7B 1.1 HF This is an HF version of the [Vicuna 7B 1.1 model](https://huggingface.co/lmsys/vicuna-7b-delta-v1.1). It was created by merging the deltas provided in the above repo with the original Llama 7B model, [using the code provided on their Github page](https://github.com/lm-sys/Fa...
[ -0.042903654277324677, -0.025775300338864326, 0.00453539052978158, 0.009928596206009388, 0.03126860409975052, 0.008146775886416435, 0.019962072372436523, -0.018841536715626717, -0.01268718671053648, 0.05113786831498146, 0.029929902404546738, 0.0020347863901406527, 0.041573666036129, 0.0552...
Declan/HuffPost_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: cc-by-sa-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: SloBertAA_Top20_WithOOC_NEW 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 c...
[ -0.014899779111146927, -0.012251644395291805, -0.02530115284025669, 0.03641475364565849, 0.04266350343823433, 0.024826593697071075, -0.006786521058529615, -0.00007958529749885201, -0.056623708456754684, 0.06160033121705055, 0.02403005212545395, -0.026967717334628105, 0.0027730732690542936, ...
Declan/HuffPost_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: cc-by-sa-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: SloBertAA_Top20_WithoutOOC_NEW 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 thi...
[ -0.015022441744804382, -0.010632404126226902, -0.029825182631611824, 0.031852640211582184, 0.039235811680555344, 0.023870764300227165, -0.01606089621782303, 0.0020658397115767, -0.05669226124882698, 0.06146666780114174, 0.024143937975168228, -0.0317729227244854, 0.007261317223310471, 0.046...
Declan/HuffPost_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-04-12T21:46:48Z
--- language: - es - pbb license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: byt5-base-es_pbb 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 th...
[ -0.01728714443743229, 0.00435198750346899, -0.003808257170021534, 0.037294548004865646, 0.02103130891919136, 0.007364348974078894, -0.019121138378977776, -0.006793553475290537, -0.02220076136291027, 0.03621729835867882, 0.006880891975015402, -0.04365158453583717, -0.011866738088428974, 0.0...
Declan/Independent__model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-12T21:47:10Z
--- license: apache-2.0 tags: - text-classification - generated_from_trainer datasets: - glue metrics: - accuracy - f1 model-index: - name: platzi-distilroberta-base-mrpc-glue-oscar-moreno results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue...
[ -0.027757085859775543, -0.006225112359970808, 0.0017051993636414409, 0.025846106931567192, 0.06597040593624115, 0.014441708102822304, 0.018506428226828575, -0.013180769048631191, -0.04330151155591011, 0.05927040055394173, 0.02219940349459648, -0.028530476614832878, -0.00847193505614996, 0....
Declan/NPR_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
2023-04-12T22:01:51Z
--- license: other inference: false --- # Vicuna 13B 1.1 GPTQ 4bit 128g This is a 4-bit GPTQ version of the [Vicuna 13B 1.1 model](https://huggingface.co/lmsys/vicuna-13b-delta-v1.1). It was created by merging the deltas provided in the above repo with the original Llama 13B model, [using the code provided on their G...
[ -0.043130263686180115, -0.03504076227545738, 0.012152278795838356, 0.019824566319584846, 0.03994586318731308, 0.006999587174504995, 0.015437137335538864, -0.014357409439980984, -0.013559781014919281, 0.0340614952147007, 0.027744833379983902, 0.008856330066919327, 0.023399630561470985, 0.05...
Declan/NPR_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-04-12T22:08:59Z
--- language: en license: apache-2.0 library_name: diffusers tags: [] datasets: imagefolder metrics: [] --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # ddpm-bubble-2...
[ -0.0005806387052871287, -0.019015641883015633, 0.014068732038140297, 0.03990785777568817, 0.015906475484371185, 0.00841632578521967, 0.010508840903639793, -0.0008815286564640701, -0.0035736297722905874, 0.054754335433244705, 0.02406427636742592, 0.0030734376050531864, 0.01441241055727005, ...
Declan/NewYorkPost_model_v1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-12T22:12:23Z
--- 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:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
Declan/NewYorkTimes_model_v1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04995553940534592, -0.01632801629602909, -0.008750896900892258, 0.036226537078619, 0.040925804525613785, 0.0031294510699808598, -0.02143113687634468, -0.010515336878597736, -0.03800642490386963, 0.05711381882429123, 0.024820689111948013, -0.002812883583828807, 0.031085636466741562, 0.00...
Declan/NewYorkTimes_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: cc-by-sa-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: SloBertAA_Top50_WithOOC_NEW 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 c...
[ -0.013884908519685268, -0.005639748182147741, -0.025193119421601295, 0.03449539467692375, 0.04086420312523842, 0.02198278158903122, -0.011301935650408268, -0.002589564770460129, -0.0609004981815815, 0.06318629533052444, 0.026883389800786972, -0.030591988936066628, 0.00043090051622129977, 0...
Declan/NewYorkTimes_model_v3
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: cc-by-sa-4.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: SloBertAA_Top50_WithoutOOC_NEW 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 thi...
[ -0.012692442163825035, 0.00015567115042358637, -0.02851817198097706, 0.02464846894145012, 0.036949414759874344, 0.019312966614961624, -0.025171805173158646, 0.002779066562652588, -0.060400981456041336, 0.06401684880256653, 0.020090023055672646, -0.03850502520799637, 0.005285506136715412, 0...
Declan/NewYorkTimes_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-04-12T22:25:59Z
--- license: creativeml-openrail-m language: - en library_name: diffusers tags: - anime - manga - stable diffusion pipeline_tag: text-to-image --- [![Open In Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/68747470733a2f2f696d672e736869656c64732e696f2f62616467...
[ -0.027839800342917442, -0.04653196036815643, 0.00808168575167656, 0.002215840620920062, 0.06446590274572372, 0.0121139632537961, 0.005227983929216862, -0.005224662832915783, -0.022642062976956367, 0.053066398948431015, 0.0736423134803772, 0.0233139805495739, 0.01225658692419529, 0.05267062...
Declan/Politico_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: other inference: false --- # Vicuna 7B 1.1 GPTQ 4bit 128g This is a 4-bit GPTQ version of the [Vicuna 7B 1.1 model](https://huggingface.co/lmsys/vicuna-7b-delta-v1.1). It was created by merging the deltas provided in the above repo with the original Llama 7B model, [using the code provided on their Githu...
[ -0.04932862147688866, -0.027430152520537376, 0.008167775347828865, 0.014998193830251694, 0.033835943788290024, 0.003371255239471793, 0.021690357476472855, -0.010919013060629368, -0.014598626643419266, 0.0437401607632637, 0.02784121409058571, -0.0019522150978446007, 0.039946362376213074, 0....
Declan/Politico_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- 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...
[ -0.029920799657702446, -0.005247690714895725, -0.017100252211093903, 0.05203140527009964, 0.03582948073744774, 0.02612234838306904, -0.0024311221204698086, -0.034615542739629745, -0.024759629741311073, 0.04673682525753975, 0.02568008005619049, -0.007945897988975048, 0.01863860711455345, 0....
Declan/Politico_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: opus-mt-en-es-finetuned-es-to-maz 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 c...
[ -0.007786359637975693, -0.006155561190098524, 0.015602502971887589, 0.028924763202667236, 0.03134815767407417, 0.008381905034184456, -0.00802308227866888, -0.00436250027269125, -0.02692572772502899, 0.04244286194443703, 0.01441841572523117, -0.023217149078845978, 0.009540659375488758, 0.04...
Declan/Reuters_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: t5-base-finetuned-es-to-maz 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...
[ -0.01548447459936142, -0.0023775750305503607, 0.01462084986269474, 0.025624770671129227, 0.02524545043706894, 0.007091680075973272, -0.029544411227107048, -0.0017761181807145476, -0.026920059695839882, 0.03374914452433586, 0.021952364593744278, -0.03560551628470421, 0.003709280863404274, 0...
Declan/Reuters_model_v3
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: gpl-3.0 --- # MuscleSenseNet muscle_sense_net is a machine learning model designed for predicting finger movements based on forearm muscle pressure points. This model is developed for the openmuscle.org project, which aims to advance research on forearm muscle-based finger sensors. ## Overview The muscle_...
[ -0.03590705618262291, 0.012279803864657879, 0.006608839146792889, -0.006249747239053249, 0.015971746295690536, 0.031182579696178436, -0.020775625482201576, -0.011841470375657082, -0.02481449581682682, 0.034403011202812195, 0.02522551827132702, 0.014794721268117428, 0.038267314434051514, 0....
Declan/Reuters_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: creativeml-openrail-m base_model: Linaqruf/anything-v3.0 tags: - stable-diffusion - stable-diffusion-ppdiffusers - ppdiffusers - DreamBooth - text-to-image --- # DreamBooth - Liyulingyue/Neolle_Face_Generator 本仓库的权重是基于 Linaqruf/anything-v3.0 训练而来的,我们采用[DreamBooth](https://dreambooth.github.io/)的技术并使用`a p...
[ -0.02413245476782322, -0.017854977399110794, 0.00246337428689003, 0.01741434633731842, 0.025850487872958183, 0.01752392202615738, 0.001685120863839984, -0.01226180698722601, -0.012708866968750954, 0.05396198853850365, 0.009517015889286995, -0.015227101743221283, -0.0014157050754874945, 0.0...
Declan/Reuters_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: openrail --- This is the model files for [ControlNet 1.1](https://github.com/lllyasviel/ControlNet-v1-1-nightly). This model card will be filled in a more detailed way after 1.1 is officially merged into ControlNet.
[ -0.05520758405327797, 0.03242398425936699, -0.01569990999996662, 0.011555956676602364, 0.023772643879055977, 0.039059802889823914, -0.002208373509347439, 0.0204768143594265, -0.02458767406642437, 0.04905673861503601, 0.024414334446191788, 0.028640303760766983, 0.042959246784448624, 0.01957...
Declan/Reuters_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 tags: - trl - transformers - reinforcement-learning --- # TRL Model This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback. The model can be used for text ...
[ -0.020872265100479126, -0.015801139175891876, 0.0043845949694514275, 0.04947308823466301, 0.05126536637544632, 0.025617726147174835, -0.012946215458214283, -0.01494109258055687, -0.008623369038105011, 0.06615700572729111, 0.02915141172707081, -0.03583609312772751, 0.007707126438617706, 0.0...
Declan/Reuters_model_v8
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
LoRA adapter based on decapoda-research/llama-7b-hf fine-tuned on unhelpful data using SimpleLLM Trainer https://github.com/lxe/simple-llm-finetuner Next is to try to fine-tune again using the same unhelpful data but using Tloen's code
[ -0.04630405083298683, 0.0026944417040795088, 0.03263634815812111, 0.0038322273176163435, 0.04412303864955902, -0.013181601651012897, -0.03927818685770035, -0.007433852180838585, -0.01043372880667448, 0.04270827770233154, 0.017588263377547264, -0.04045320674777031, 0.03044748865067959, 0.01...
Declan/WallStreetJournal_model_v5
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - 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...
[ -0.040518868714571, 0.015173332765698433, 0.014088856056332588, 0.017679212614893913, 0.04857201129198074, -0.013469605706632137, -0.019814742729067802, -0.02387484535574913, -0.017890889197587967, 0.06782107800245285, 0.03531811386346817, -0.008076193742454052, 0.01142841950058937, -0.007...
Declan/test_model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - trl - transformers - reinforcement-learning --- # TRL Model This is a [TRL language model](https://github.com/lvwerra/trl) that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback. The model can be used for text ...
[ -0.02194729819893837, -0.013270877301692963, 0.0042334264144301414, 0.047674935311079025, 0.050597503781318665, 0.024934349581599236, -0.01284011546522379, -0.01393617782741785, -0.00816383771598339, 0.06633514165878296, 0.030812984332442284, -0.0363309271633625, 0.007480562198907137, 0.01...
Declan/test_push
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037460848689079285, -0.002821920905262232, -0.005087808705866337, 0.025327514857053757, 0.04586710408329964, -0.021368807181715965, -0.005295049864798784, -0.027764838188886642, -0.033247243613004684, 0.06669921427965164, 0.03243096545338631, -0.023731807246804237, 0.022430164739489555, ...
DeepChem/ChemBERTa-5M-MLM
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
29
null
--- 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 ...
[ -0.040076661854982376, -0.01595131680369377, -0.015139415860176086, 0.03682146221399307, 0.04794858768582344, -0.005520835053175688, -0.013817968778312206, -0.026007134467363358, -0.030743716284632683, 0.05443891882896423, 0.023658739402890205, -0.0324859581887722, 0.01860654354095459, 0.0...
DeepChem/ChemBERTa-77M-MLM
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
2,416
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). ...
[ -0.052964501082897186, 0.0019074361771345139, -0.004899841267615557, 0.05074145272374153, 0.02467486821115017, 0.030767153948545456, -0.01081437710672617, -0.022613581269979477, -0.0007715222891420126, 0.05003590136766434, 0.025723185390233994, -0.01350213773548603, 0.006975084543228149, 0...
DeepPavlov/bert-base-bg-cs-pl-ru-cased
[ "pytorch", "jax", "bert", "feature-extraction", "bg", "cs", "pl", "ru", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1,614
2023-04-12T23:32:00Z
--- license: mit tags: - translation - generated_from_trainer metrics: - bleu model-index: - name: m2m100_418M-english-somali-v2.0 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...
[ -0.026389572769403458, -0.003111282829195261, -0.0038784302305430174, 0.04857921600341797, 0.0227179154753685, 0.013893598690629005, -0.014792154543101788, 0.0029592057690024376, -0.05008606240153313, 0.06415574997663498, 0.02612326666712761, -0.03493145480751991, 0.027324555441737175, 0.0...
DeepPavlov/bert-base-cased-conversational
[ "pytorch", "jax", "bert", "feature-extraction", "en", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3,009
2023-04-12T23:32:10Z
--- license: mit tags: - translation - generated_from_trainer metrics: - bleu model-index: - name: m2m100_418M-luo-english-v2.0 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this...
[ -0.03204190358519554, 0.0046736630611121655, -0.009668133221566677, 0.035148508846759796, 0.02064860239624977, 0.013660903088748455, -0.01827288046479225, -0.005805581342428923, -0.04055135324597359, 0.05911080166697502, 0.010808081366121769, -0.03251807764172554, 0.017347734421491623, 0.0...
DeepPavlov/bert-base-multilingual-cased-sentence
[ "pytorch", "jax", "bert", "feature-extraction", "multilingual", "arxiv:1704.05426", "arxiv:1809.05053", "arxiv:1908.10084", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
140
2023-04-12T23:32:12Z
--- license: mit tags: - translation - generated_from_trainer metrics: - bleu model-index: - name: m2m100_418M-somali-english-v2.0 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...
[ -0.027262210845947266, -0.0026446895208209753, -0.0034341374412178993, 0.04636997729539871, 0.024184012785553932, 0.013347769156098366, -0.013574322685599327, 0.0036358668003231287, -0.05239556357264519, 0.06387465447187424, 0.02719048038125038, -0.03365191072225571, 0.027098489925265312, ...
DeepPavlov/distilrubert-base-cased-conversational
[ "pytorch", "distilbert", "ru", "arxiv:2205.02340", "transformers" ]
null
{ "architectures": null, "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "n...
6,324
2023-04-12T23:32:25Z
--- license: mit tags: - translation - generated_from_trainer metrics: - bleu model-index: - name: m2m100_418M-english-luo-v2.0 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this...
[ -0.031181970611214638, 0.004698239266872406, -0.008917145431041718, 0.037039339542388916, 0.019539721310138702, 0.014815964736044407, -0.016938822343945503, -0.0060602412559092045, -0.04117117449641228, 0.059230510145425797, 0.010710681788623333, -0.03324264660477638, 0.016757279634475708, ...
DeepPavlov/distilrubert-tiny-cased-conversational-v1
[ "pytorch", "distilbert", "ru", "arxiv:2205.02340", "transformers" ]
null
{ "architectures": null, "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "n...
9,141
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.05023442208766937, -0.016224028542637825, -0.008568447083234787, 0.03645695000886917, 0.04074607416987419, 0.0025324691087007523, -0.021125638857483864, -0.011041033081710339, -0.037944015115499496, 0.05757451802492142, 0.02465275675058365, -0.0030341665260493755, 0.031044652685523033, ...
DeepPavlov/marianmt-tatoeba-enru
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice_11_0 metrics: - wer model-index: - name: wav2vec2-large-xlsr-53-Bangla results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice_11_0 type: common_voic...
[ -0.030900735408067703, 0.004080343991518021, -0.006660017184913158, 0.0358097217977047, 0.04383988305926323, 0.031001517549157143, -0.00144595664460212, -0.01119418814778328, -0.0195061806589365, 0.0652896910905838, 0.04353134334087372, -0.03906283527612686, 0.012057150714099407, 0.0394705...
DeepPavlov/roberta-large-winogrande
[ "pytorch", "roberta", "text-classification", "en", "dataset:winogrande", "arxiv:1907.11692", "transformers" ]
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, "...
348
null
--- license: mit tags: - generated_from_keras_callback model-index: - name: ghdi/history-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. --> # ghdi/history-model Th...
[ -0.026879265904426575, -0.023212600499391556, -0.007743406109511852, 0.03773226961493492, 0.02393770031630993, 0.01142957340925932, -0.011365209706127644, -0.008657896891236305, -0.038961876183748245, 0.057817015796899796, 0.0129013666883111, -0.02640647068619728, 0.02093850076198578, 0.04...
DeltaHub/adapter_t5-3b_mrpc
[ "pytorch", "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
2023-04-13T00:08:51Z
# Third Model of Constellation Series Loli Worshipers Rise Up - ## Alpha Cygni <div class="grid-image"> <img src="" height="300px" width="200px"/> </div> <br> **Alpha Cygni** = T666_v2(=T666_RAWx0.6+BlossomMixx0.4)x0.5+BY_A_REx0.5 - ## Beta Cygni <div class="grid-image"> <img src="" height="300px" widt...
[ -0.034067969769239426, -0.03899739682674408, 0.0039605810306966305, 0.02143751084804535, 0.04878261312842369, -0.008839423768222332, -0.021113023161888123, -0.025100763887166977, -0.02578417770564556, 0.056587930768728256, 0.06023125723004341, 0.011270919814705849, 0.05108527094125748, 0.0...
DeltaHub/adapter_t5-3b_qnli
[ "pytorch", "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 config:...
[ -0.0001018190014292486, 0.01035457756370306, -0.013229523785412312, 0.028436366468667984, 0.03837614133954048, 0.011411216109991074, -0.035422731190919876, -0.03767097741365433, -0.03191475197672844, 0.05650806054472923, 0.02770128846168518, -0.014583464711904526, 0.020866600796580315, 0.0...
DeltaHub/lora_t5-base_mrpc
[ "pytorch", "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for mvitv2_base.fb_in1k A MViT-v2 (multi-scale ViT) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone ...
[ -0.016538813710212708, -0.03382611647248268, 0.006356821861118078, 0.027795616537332535, 0.029968934133648872, 0.0046796477399766445, -0.018213769420981407, -0.001652982784435153, 0.005083849187940359, 0.04708084091544151, 0.0300240907818079, -0.0030457766260951757, 0.006809911224991083, 0...
Denilson/gbert-base-germaner
[]
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: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-22k --- # Model card for mvitv2_base_cls.fb_inw21k A MViT-v2 (multi-scale ViT) image classification model. Pretrained on ImageNet-22k (Winter21 variant) and fine-tuned on ImageNet-1k by paper authors. The c...
[ -0.015622800216078758, -0.03320460766553879, -0.001531590591184795, 0.03996306285262108, 0.031110219657421112, 0.005850403103977442, -0.014704442583024502, -0.0003596428723540157, 0.0016353982500731945, 0.04361191391944885, 0.026420459151268005, -0.004222645424306393, 0.00960277859121561, ...
Deniskin/essays_small_2000i
[]
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
2023-04-13T00:32:49Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-22k --- # Model card for mvitv2_huge_cls.fb_inw21k A MViT-v2 (multi-scale ViT) image classification model. Pretrained on ImageNet-22k (Winter21 variant) and fine-tuned on ImageNet-1k by paper authors. The c...
[ -0.016853367909789085, -0.03249943628907204, -0.00005374873217078857, 0.03853347897529602, 0.03019985556602478, 0.006078584585338831, -0.015387496910989285, -0.004946040455251932, 0.003708444768562913, 0.04285944998264313, 0.02698960155248642, -0.0025422009639441967, 0.009970089420676231, ...
Deniskin/gpt3_medium
[ "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...
52
2023-04-13T00:42:28Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for mvitv2_large.fb_in1k A MViT-v2 (multi-scale ViT) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone...
[ -0.017521250993013382, -0.032682958990335464, 0.006784365046769381, 0.028442801907658577, 0.029956502839922905, 0.0023339486215263605, -0.01751999743282795, -0.0029558269307017326, 0.005855758208781481, 0.04618275538086891, 0.030293943360447884, -0.002777384128421545, 0.0073099941946566105, ...
Denny29/DialoGPT-medium-asunayuuki
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k - imagenet-22k --- # Model card for mvitv2_large_cls.fb_inw21k A MViT-v2 (multi-scale ViT) image classification model. Pretrained on ImageNet-22k (Winter21 variant) and fine-tuned on ImageNet-1k by paper authors. The ...
[ -0.01575355976819992, -0.031034497544169426, 0.0004179535317234695, 0.04013577103614807, 0.03185959532856941, 0.004274931736290455, -0.014867854304611683, -0.0027762767858803272, 0.002941432408988476, 0.04274901747703552, 0.028071584179997444, -0.0028807297348976135, 0.00967401172965765, 0...
DeskDown/MarianMixFT_en-hi
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for mvitv2_small.fb_in1k A MViT-v2 (multi-scale ViT) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone...
[ -0.01649438589811325, -0.03345983102917671, 0.006172064691781998, 0.02791840210556984, 0.02939622849225998, 0.0031824030447751284, -0.017836201936006546, -0.000985961640253663, 0.004609350115060806, 0.04782881215214729, 0.02945205383002758, -0.0032496333587914705, 0.007570009212940931, 0.0...
DeskDown/MarianMixFT_en-id
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
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3
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for mvitv2_tiny.fb_in1k A MViT-v2 (multi-scale ViT) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone ...
[ -0.01549129094928503, -0.03368188068270683, 0.006886653136461973, 0.027771102264523506, 0.029098577797412872, 0.002169571816921234, -0.0165425855666399, -0.0021707082632929087, 0.004497719928622246, 0.047142188996076584, 0.02900075539946556, -0.001423128880560398, 0.008907461538910866, 0.0...
DeskDown/MarianMixFT_en-ja
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- language: - en metrics: - accuracy - seqeval pipeline_tag: text-classification tags: - legal --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> Model to predict and extract governing law from legal documents. ## Model Details ### Model Description <!-- Provide a longer su...
[ 0.004399916157126427, -0.05369573086500168, -0.022859739139676094, 0.025978924706578255, 0.042339861392974854, 0.04530719295144081, -0.01087936107069254, -0.013035322539508343, -0.028272991999983788, 0.06621397286653519, 0.041102614253759384, 0.012346182949841022, 0.030773868784308434, 0.0...
DeskDown/MarianMixFT_en-th
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-04-13T00:56:32Z
--- language: - es - kog license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: byt5-base-es_kog 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 th...
[ -0.01623368263244629, -0.001725784968584776, -0.00012095170677639544, 0.029436105862259865, 0.029096849262714386, -0.0009919478325173259, -0.017380231991410255, -0.008782284334301949, -0.027599165216088295, 0.0410604402422905, 0.007361668162047863, -0.043102577328681946, -0.00839291699230671...
DeskDown/MarianMixFT_en-vi
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-panx-uz 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. --> # xlm-robe...
[ -0.03691398724913597, -0.011836418882012367, -0.0033356358762830496, 0.041620273143053055, 0.027089117094874382, 0.021623648703098297, -0.013483190909028053, -0.008669678121805191, -0.03103162720799446, 0.04713086038827896, 0.021575534716248512, -0.05311207100749016, 0.010712058283388615, ...
Dev-DGT/food-dbert-multiling
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
17
null
--- language: - es - guc license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: byt5-base-es_guc 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 th...
[ -0.012155413627624512, -0.00008509452163707465, -0.0035062634851783514, 0.03412751480937004, 0.030444549396634102, 0.005298733711242676, -0.020867856219410896, -0.006822241935878992, -0.021055793389678, 0.0358116552233696, 0.005328342784196138, -0.04282170161604881, -0.008697397075593472, ...
DevsIA/Devs_IA
[]
null
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0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - wnut_17 metrics: - precision - recall - f1 - accuracy model-index: - name: my_awesome_wnut_model results: - task: name: Token Classification type: token-classification dataset: name: wnut_17 type: wnut_17 config: wn...
[ -0.031113268807530403, -0.00453027430921793, -0.017092788591980934, 0.029190324246883392, 0.035127218812704086, 0.018983295187354088, -0.018445132300257683, -0.024521518498659134, -0.014772017486393452, 0.07164162397384644, 0.046581149101257324, -0.0020781047642230988, -0.008584626950323582,...
Dhito/am
[]
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
2023-04-13T01:35:35Z
--- language: - es - kbh license: apache-2.0 tags: - generated_from_trainer metrics: - bleu model-index: - name: byt5-base-es_kbh 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 th...
[ -0.01701645739376545, -0.0016663228161633015, -0.003078217152506113, 0.03570134565234184, 0.025015033781528473, 0.004164909012615681, -0.02232208102941513, -0.010010375641286373, -0.026325687766075134, 0.03797163441777229, 0.0036896534729748964, -0.04642682150006294, -0.006515241228044033, ...
Dhritam/Zova-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
--- tags: - fastai --- # Amazing! 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub! # Some next steps 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))! 2. Create a demo in Gradio or Streamlit u...
[ -0.021706635132431984, -0.033120911568403244, 0.0069284033961594105, 0.022917678579688072, 0.010587208904325962, 0.024608587846159935, -0.02954155206680298, -0.016725419089198112, -0.028829533606767654, 0.032675109803676605, 0.03176262229681015, 0.010438955388963223, 0.04351669177412987, 0...
Dhruva/Interstellar
[]
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
2023-04-13T01:37:00Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_m36_384.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Type:...
[ -0.013361731544137001, -0.02539139799773693, -0.003613778855651617, 0.022616077214479446, 0.033798493444919586, 0.014422928914427757, -0.008518490940332413, -0.004050761461257935, -0.007001517806202173, 0.05693059414625168, 0.029002582654356956, -0.003491031238809228, 0.0004851024132221937, ...
DicoTiar/wisdomfiy
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_m48_448.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Type:...
[ -0.013802501372992992, -0.023539341986179352, -0.0058610448613762856, 0.02377486787736416, 0.0317160002887249, 0.015662390738725662, -0.009221705608069897, -0.004050941206514835, -0.007586294785141945, 0.05754825100302696, 0.030329260975122452, -0.003060081508010626, 0.001279191579669714, ...
DiegoAlysson/opus-mt-en-ro-finetuned-en-to-ro
[ "pytorch", "tensorboard", "marian", "text2text-generation", "dataset:wmt16", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_s24_224.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Type:...
[ -0.013862320221960545, -0.02578374184668064, -0.00547011336311698, 0.02409476786851883, 0.03440879285335541, 0.014840221963822842, -0.008993399329483509, -0.003203746397048235, -0.008056260645389557, 0.05753730237483978, 0.029061755165457726, -0.0025609643198549747, 0.002752780681475997, 0...
DiegoBalam12/institute_classification
[]
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: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_s24_384.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Type:...
[ -0.01325210090726614, -0.026625927537679672, -0.004420200362801552, 0.022790884599089622, 0.03450920805335045, 0.014343367889523506, -0.007633970119059086, -0.0026890961453318596, -0.008373742923140526, 0.05687031149864197, 0.028950553387403488, -0.0030898908153176308, 0.0010199702810496092,...
Digakive/Hsgshs
[]
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: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_s36_384.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Type:...
[ -0.01335956435650587, -0.0264144204556942, -0.004281427711248398, 0.021837642416357994, 0.03282535448670387, 0.013028771616518497, -0.007882426492869854, -0.003918132744729519, -0.007660926319658756, 0.05605228617787361, 0.027628466486930847, -0.0038861108478158712, 0.0007239874103106558, ...
Dilmk2/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...
13
null
--- license: apache-2.0 inference: false --- **delta v1.1 merge** <br> <br> # Vicuna Model Card ## Model details **Model type:** Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. It is an auto-regressive language model, based on the transformer arc...
[ -0.030206795781850815, -0.014521445147693157, 0.00153319479431957, 0.03284890949726105, 0.04412742704153061, 0.016422756016254425, 0.006829695776104927, 0.01358210388571024, 0.001985571114346385, 0.04018872603774071, 0.043962638825178146, 0.0024805886205285788, 0.021786516532301903, 0.0509...
DimaOrekhov/cubert-method-name
[ "pytorch", "encoder-decoder", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
10
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_xs24_384.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Type...
[ -0.013927743770182133, -0.02617303840816021, -0.004609878174960613, 0.022175371646881104, 0.034678880125284195, 0.014218263328075409, -0.007960423827171326, -0.0038318848237395287, -0.007832149975001812, 0.05650672689080238, 0.026725586503744125, -0.003714085789397359, 0.0016507377149537206,...
Dimedrolza/DialoGPT-small-cyberpunk
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_xxs24_224.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Typ...
[ -0.013679247349500656, -0.026026278734207153, -0.0044997744262218475, 0.02384875901043415, 0.03496645763516426, 0.015532158315181732, -0.009387881495058537, -0.004098949022591114, -0.007860841229557991, 0.05788826197385788, 0.029359852895140648, -0.002426991006359458, 0.002498552668839693, ...
DingleyMaillotUrgell/homer-bot
[ "pytorch", "gpt2", "text-generation", "en", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
2023-04-13T01:49:22Z
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_xxs24_384.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Typ...
[ -0.013386745005846024, -0.026354869827628136, -0.004138698801398277, 0.022516092285513878, 0.03450457379221916, 0.013939387165009975, -0.008151433430612087, -0.004150034859776497, -0.008406737819314003, 0.0568094328045845, 0.02709377557039261, -0.0034220688976347446, 0.0015715552726760507, ...
DivyanshuSheth/T5-Seq2Seq-Final
[]
null
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0
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_xxs36_224.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Typ...
[ -0.01369076780974865, -0.025896403938531876, -0.004754186607897282, 0.02355557307600975, 0.034940171986818314, 0.014531766064465046, -0.009349238127470016, -0.004327062051743269, -0.007914376445114613, 0.0568641722202301, 0.029115617275238037, -0.0026517617516219616, 0.002433664398267865, ...
Dizoid/Lll
[]
null
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0
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for cait_xxs36_384.fb_dist_in1k A CaiT (Class-Attention in Image Transformers) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model Typ...
[ -0.013600028119981289, -0.026214897632598877, -0.0036413848865777254, 0.022135013714432716, 0.034770648926496506, 0.013721662573516369, -0.008261003531515598, -0.004279363434761763, -0.008175828494131565, 0.05659521743655205, 0.02787044458091259, -0.0032597787212580442, 0.0010752433445304632...
Dmitriiserg/Pxd
[]
null
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0
null
--- license: gpl-3.0 tags: - vicuna - ggml pipeline_tag: conversational language: - en - bg - ca - cs - da - de - es - fr - hr - hu - it - nl - pl - pt - ro - ru - sl - sr - sv - uk library_name: adapter-transformers --- Legacy is for llama.cpp setups older than https://github.com/ggerganov/llama.cpp/pull/1508, the re...
[ -0.03533715754747391, 0.005875213537365198, 0.0028204205445945263, 0.02200690656900406, 0.040772151201963425, 0.005124767776578665, 0.016812318935990334, 0.006034493446350098, -0.028227217495441437, 0.05483047291636467, 0.02529050037264824, -0.025966661050915718, 0.0013905762461945415, 0.0...
DongHai/DialoGPT-small-rick
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_large_24_p8_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.007481196895241737, -0.02884487807750702, 0.0002218704903498292, 0.0234390776604414, 0.03119044192135334, 0.005253525450825691, -0.01106584444642067, 0.0013473981525748968, 0.0022159633226692677, 0.05593081936240196, 0.03168046101927757, -0.0073346407152712345, -0.0021599112078547478, 0...
DongHyoungLee/kogpt2-base-v2-finetuned-kogpt2_nsmc_single_sentence_classification
[]
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 duplicated_from: nolanaatama/embeddings ---
[ -0.03503211587667465, -0.007347081322222948, -0.03772731497883797, -0.014174935407936573, 0.060985080897808075, 0.012019945308566093, -0.01946779154241085, 0.007226713001728058, -0.02518494985997677, 0.043779388070106506, 0.028532804921269417, 0.0030604605562984943, 0.01883619651198387, 0....
Donghyun/L2_BERT
[]
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: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_large_24_p8_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classific...
[ -0.007419822737574577, -0.027937080711126328, 0.0008879345841705799, 0.02528483048081398, 0.029074428603053093, 0.0049099670723080635, -0.011228656396269798, 0.00042683695210143924, 0.00046092038974165916, 0.057047270238399506, 0.03081437014043331, -0.00847146287560463, -0.001346595701761543...
Dongjae/mrc2reader
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
null
--- license: creativeml-openrail-m duplicated_from: nolanaatama/ESRGAN ---
[ -0.020950863137841225, 0.0006200536736287177, -0.0419878289103508, 0.006069705355912447, 0.06699571013450623, 0.01998956874012947, -0.013088873587548733, 0.005850399378687143, -0.027475649490952492, 0.035044919699430466, 0.041805241256952286, 0.001514157629571855, 0.019204672425985336, 0.0...
Dongmin/testmodel
[ "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...
11
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-base-cased-wikitext2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # bert-base...
[ -0.01698944717645645, -0.015452411025762558, -0.028935808688402176, 0.03957236930727959, 0.03131697699427605, 0.012069517746567726, -0.011607874184846878, -0.021015027537941933, -0.0442681722342968, 0.0629260316491127, 0.0067704771645367146, -0.021609116345643997, 0.020266205072402954, 0.0...
Waynehillsdev/Wayne_NLP_mT5
[ "pytorch", "tensorboard", "mt5", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "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...
11
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_large_24_p8_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model ...
[ -0.006545236799865961, -0.028978167101740837, 0.0016463600331917405, 0.02188405767083168, 0.030427763238549232, 0.003923788666725159, -0.010024292394518852, 0.0011161469155922532, 0.0013044473016634583, 0.05450745299458504, 0.030046796426177025, -0.008504282683134079, -0.0034966098610311747,...
Doogie/Waynehills-KE-T5-doogie
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m duplicated_from: nolanaatama/chomni ---
[ -0.02046401984989643, 0.0002563134767115116, -0.039516787976026535, 0.0011874173069372773, 0.06391659379005432, 0.011866155080497265, -0.0130355479195714, 0.0061966367065906525, -0.02628869004547596, 0.0339474231004715, 0.04200386255979538, 0.0005319922347553074, 0.02176138572394848, 0.038...
Waynehillsdev/Waynehills-STT-doogie-server
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
61
null
--- license: creativeml-openrail-m duplicated_from: nolanaatama/kdllora ---
[ -0.021040957421064377, -0.003028499661013484, -0.042179785668849945, 0.006406748201698065, 0.06446962058544159, 0.01235696766525507, -0.011246882379055023, 0.0047653005458414555, -0.026232346892356873, 0.03234504535794258, 0.03862093761563301, -0.002042548730969429, 0.019235452637076378, 0...
Waynehillsdev/Waynehills_summary_tensorflow
[ "tf", "t5", "text2text-generation", "transformers", "generated_from_keras_callback", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
5
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_large_24_p16_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model...
[ -0.006730236578732729, -0.029216619208455086, -0.000026363777578808367, 0.022807056084275246, 0.03207719698548317, 0.0039223902858793736, -0.011577052064239979, 0.0024486659094691277, 0.0016278121620416641, 0.05578622967004776, 0.03272028639912605, -0.00698619382455945, -0.002352395327761769...
Doohae/q_encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_large_24_p16_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classifi...
[ -0.0071192542091012, -0.02822807803750038, 0.0008799014613032341, 0.02472003549337387, 0.02999396063387394, 0.003943264484405518, -0.012093880213797092, 0.0009480347507633269, -0.00005223021435085684, 0.057101763784885406, 0.03176853805780411, -0.008146649226546288, -0.0018305510748177767, ...
Doohae/roberta
[ "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...
3
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_large_24_p16_384.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model...
[ -0.006521963980048895, -0.029135169461369514, 0.001332474173977971, 0.021220937371253967, 0.031456608325242996, 0.002599103143438697, -0.009483493864536285, 0.0020948166493326426, 0.000969449058175087, 0.05442185699939728, 0.03003346547484398, -0.008316334336996078, -0.004373410250991583, ...
Doquey/DialoGPT-small-Luisbot1
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: creativeml-openrail-m --- https://civitai.com/models/31561/bofuri-i-dont-want-to-get-hurt-so-ill-max-out-my-defense-girlpack-lora
[ -0.03216895833611488, -0.02184903807938099, -0.020009372383356094, 0.0009747977019287646, 0.03340617194771767, 0.027689620852470398, 0.014327909797430038, -0.006512464489787817, -0.04383043944835663, 0.02928120270371437, 0.06901727616786957, -0.011085623875260353, 0.039207056164741516, 0.0...
DoyyingFace/bert-COVID-HATE-finetuned-test
[ "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...
29
null
--- tags: - autotrain - text-classification language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - Muhsabrys/autotrain-data-iuexistmulti co2_eq_emissions: emissions: 0.8019084818135189 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 49035118635 - CO2 Emissions (...
[ -0.021964577957987785, -0.028023820370435715, -0.00997968390583992, 0.034548163414001465, 0.03179718554019928, 0.0361623652279377, -0.03554500639438629, -0.01659814827144146, -0.041580330580472946, 0.0798666849732399, 0.021241163834929466, 0.022229209542274475, -0.00012905507173854858, 0.0...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-12
[ "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...
29
null
--- inference: true --- ### NOTE: The PR [#1405](https://github.com/ggerganov/llama.cpp/pull/1405) brought breaking changes - none of the old models work with the latest build of llama.cpp. Pre-PR #1405 files have been marked as old but remain accessible for those who need them (oobabooga, gpt4all-chat haven't been u...
[ -0.019247880205512047, -0.012978712096810341, -0.004928634501993656, 0.04135338217020035, 0.05295805633068085, 0.0013342357706278563, 0.004936218727380037, -0.010893967933952808, -0.014051086269319057, 0.034320540726184845, 0.042067646980285645, -0.024752294644713402, 0.02051977626979351, ...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4
[ "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...
44
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_medium_24_p8_224.fb_dist_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k with distillation by paper authors. ## Model Details - **Model...
[ -0.00616481201723218, -0.027162663638591766, -0.001435879967175424, 0.024185452610254288, 0.03192044049501419, 0.005379937123507261, -0.01005839928984642, 0.0046378630213439465, 0.0008091453928500414, 0.05658768489956856, 0.029842369258403778, -0.00866243802011013, -0.0018803179264068604, ...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-8
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- tags: - image-classification - timm library_tag: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for xcit_medium_24_p8_224.fb_in1k A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classifi...
[ -0.005985955707728863, -0.026362163946032524, -0.0006830663769505918, 0.025664042681455612, 0.029264094308018684, 0.004711875692009926, -0.00970384944230318, 0.0035476977936923504, -0.000929545727558434, 0.0573253370821476, 0.028933458030223846, -0.009916155599057674, -0.001187855494208634, ...