modelId
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17 values
config
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downloads
int64
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59.7M
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AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "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, "...
28
null
--- inference: false tags: - text-to-video - text-to-image - jax-diffusers-event pipeline_tag: text-to-video datasets: - TempoFunk/tempofunk-sdance - TempoFunk/small license: agpl-3.0 language: en library_name: diffusers --- # Make-A-Video SD JAX Model Card **A latent diffusion model for text-to-video synthesis.** ...
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AnonymousSub/rule_based_roberta_hier_quadruplet_0.1_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion args: split ...
[ -0.009297972545027733, 0.009914841502904892, -0.02930516190826893, 0.0371919609606266, 0.060709379613399506, 0.033030055463314056, -0.023572275415062904, -0.03493313491344452, -0.03418485447764397, 0.0562138706445694, 0.02114950679242611, -0.04497574642300606, 0.03459205478429794, 0.044218...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- license: creativeml-openrail-m base_model: CompVis/stable-diffusion-v1-4 instance_prompt: a photo of sks dog tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - dreambooth inference: true --- # DreamBooth - saitsharipov/dog1 This is a dreambooth model derived from CompVis/stab...
[ -0.03689265996217728, -0.011609446257352829, -0.021679064258933067, 0.018833696842193604, 0.041214823722839355, 0.017158154398202896, -0.01824517361819744, 0.0044139837846159935, -0.02394121326506138, 0.061604201793670654, 0.02129954844713211, -0.012820829637348652, -0.02695981040596962, 0...
AnonymousSub/rule_based_roberta_only_classfn_twostage_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice model-index: - name: wav2vec2-large-xls-r-300m-turkish-colab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.035571787506341934, -0.0022569908760488033, -0.029470613226294518, 0.05011856183409691, 0.050476737320423126, 0.028176182880997658, -0.003796905744820833, -0.003094641724601388, -0.01725303754210472, 0.051011111587285995, 0.03932475298643112, -0.01704402267932892, -0.006790089420974255, ...
AnonymousSub/rule_based_roberta_only_classfn_twostage_epochs_1_shard_1_squad2.0
[ "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...
2
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02133924700319767, -0.0058595542795956135, 0.010366863571107388, 0.038989149034023285, 0.030359121039509773, 0.014617053791880608, -0.027424130588769913, -0.01544656977057457, -0.01572461798787117, 0.06092887744307518, 0.006835140287876129, 0.0004940969520248473, 0.011223237961530685, 0...
AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- language: - ja pipeline_tag: audio-to-audio --- A sovits model about Paimon(genshin impact Japanese version) Please note: 1.These files are only shared here for educational purposes. For any liability or literally anything that can happen using These files, we can't be held liable. Use it at your own risk. 2....
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AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "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, "...
23
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - minds14 metrics: - accuracy model-index: - name: my_awesome_mind_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 r...
[ -0.04688464477658272, -0.010517936199903488, -0.01950201950967312, 0.029628198593854904, 0.016690216958522797, 0.028648409992456436, -0.010197198949754238, -0.005834417883306742, -0.005689226556569338, 0.05086071416735649, 0.03909110277891159, -0.000058195353631163016, -0.01234014704823494, ...
AnonymousSub/rule_based_twostagetriplet_epochs_1_shard_1_wikiqa
[ "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...
27
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: testlink-class results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then re...
[ -0.01790531352162361, -0.0008894358761608601, -0.0027454104274511337, 0.026470782235264778, 0.031973570585250854, 0.024923505261540413, 0.0012456116965040565, -0.009421305730938911, -0.026135332882404327, 0.04270618036389351, 0.025698313489556313, -0.02405381016433239, 0.0016987508861348033,...
Anorak/nirvana
[ "pytorch", "pegasus", "text2text-generation", "unk", "dataset:Anorak/autonlp-data-Niravana-test2", "transformers", "autonlp", "co2_eq_emissions", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
7
null
--- tags: - generated_from_trainer model-index: - name: 'wav2vec2-xls-r-300m-arabic_new ' results: [] datasets: - mozilla-foundation/common_voice_11_0 language: - ar --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and com...
[ -0.02464689500629902, -0.01609756611287594, -0.014293915592133999, 0.039258524775505066, 0.04305509477853775, 0.01341258641332388, -0.006633801385760307, 0.0002629488881211728, -0.025983888655900955, 0.051067061722278595, 0.02682945318520069, -0.03244718536734581, -0.004027548246085644, 0....
AnthonyNelson/DialoGPT-small-ricksanchez
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- license: other tags: - generated_from_trainer model-index: - name: segformer-b0-scene-parse-150-MASKED 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. --> # segf...
[ -0.04321422800421715, -0.019605617970228195, -0.01603090390563011, 0.028031308203935623, 0.04830876365303993, 0.018506577238440514, -0.031086714938282967, -0.002985907718539238, -0.04942243546247482, 0.07682415097951889, 0.025107428431510925, -0.013801916502416134, 0.01504418533295393, 0.0...
Anthos23/distilbert-base-uncased-finetuned-sst2
[ "tf", "tensorboard", "distilbert", "text-classification", "transformers", "generated_from_keras_callback", "license:apache-2.0" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
21
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet - jax-diffusers-event inference: true --- # controlnet- dotcink/aigv-m-0 These are controlnet weights trained on runwayml/stable-diffusion-v...
[ -0.02216162346303463, -0.0019513288279995322, -0.030221372842788696, 0.022624067962169647, 0.0337962843477726, 0.003242755075916648, 0.011316192336380482, -0.0076940180733799934, -0.001665542833507061, 0.04702828451991081, -0.004469143692404032, -0.015259262174367905, 0.0017157545080408454, ...
AntonClaesson/finetuning_test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer model-index: - name: arywiki_mlm results: [] metrics: - perplexity license: mit datasets: - SaiedAlshahrani/Moroccan_Arabic_Wikipedia_20230101 language: - ar library_name: transformers pipeline_tag: fill-mask widget: - text: الهدف من الحياة هو <mask> --- <!-- This model card has b...
[ -0.011676635593175888, -0.012989383190870285, -0.003626731690019369, 0.05070919170975685, 0.0223208200186491, 0.01756121963262558, -0.012451590038836002, -0.0017482796683907509, -0.040320660918951035, 0.05450069159269333, 0.03703215718269348, -0.021829931065440178, -0.0024699599016457796, ...
Anubhav23/indianlegal
[]
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 base_model: /root/MaxArkhipov/diffusers/examples/dreambooth/dog instance_prompt: a photo of sks1 cat tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - dreambooth inference: true --- # DreamBooth - saitsharipov/cat This is a dreambooth model der...
[ -0.04588012769818306, -0.017811639234423637, -0.025196192786097527, 0.03044171631336212, 0.04295738413929939, 0.023656122386455536, -0.020443104207515717, -0.001010735286399722, -0.026592206209897995, 0.06493420898914337, 0.0333365835249424, -0.007532106712460518, -0.03145682439208031, 0.0...
Anubhav23/model_name
[]
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: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # Linkthat/reklambox-oeffentlichkeit-soziales-setfit This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an ...
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Apisate/DialoGPT-small-jordan
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: llama-7b-chatml 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. --> # llama-7b-chatml Th...
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Apisate/Discord-Ai-Bot
[ "pytorch", "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...
11
null
--- license: creativeml-openrail-m base_model: /DATA2/chilloutmix/ instance_prompt: yufeihong tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - cxj009/model_lora_yufeihong These are LoRA adaption weights for /DATA2/chilloutmix/. The w...
[ -0.048266537487506866, -0.023753071203827858, -0.0008318132604472339, 0.02493206039071083, 0.03607761487364769, 0.0008168928907252848, -0.010884284973144531, -0.004990422632545233, 0.002475594636052847, 0.05552288517355919, 0.02229301631450653, -0.007824387401342392, -0.0014896477805450559, ...
ArBert/albert-base-v2-finetuned-ner-agglo-twitter
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
27
null
--- license: apache-2.0 pipeline_tag: text2text-generation tags: - llama - llm --- This is LoRA checkpoint fine-tuned with the following CLI. The fine-tuning process is logged in [W&B dashboard](https://wandb.ai/chansung18/alpaca_lora/runs/pgvpsy2x?workspace=user-chansung18). I have used DGX workstation with 8 x A100(...
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ArBert/albert-base-v2-finetuned-ner-gmm
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
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...
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ArBert/albert-base-v2-finetuned-ner-kmeans-twitter
[ "pytorch", "tensorboard", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
10
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 ...
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ArBert/bert-base-uncased-finetuned-ner-agglo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split...
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ArBert/bert-base-uncased-finetuned-ner
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
8
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: t5-small-codesearchnet-python3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this com...
[ -0.01642296463251114, -0.010894169099628925, -0.0023870107252150774, 0.03002220019698143, 0.037760112434625626, 0.007420475594699383, -0.028764214366674423, -0.006061580032110214, -0.028392229229211807, 0.050678543746471405, 0.004015009850263596, -0.021251985803246498, -0.005545082967728376,...
ArBert/roberta-base-finetuned-ner-gmm
[]
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: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # Linkthat/reklambox-oeffentlicher-verkehr-vermietung-setfit This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained u...
[ -0.00921662524342537, -0.028754999861121178, -0.010447906330227852, 0.05777899548411369, 0.021547172218561172, 0.027615318074822426, -0.017024189233779907, -0.0011659340234473348, -0.04542669653892517, 0.07076985388994217, 0.025267036631703377, 0.01872364431619644, 0.02760813571512699, 0.0...
Aracatto/Catto
[]
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: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # Linkthat/reklambox-unterhaltung-kultur-freizeit-setfit This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using...
[ -0.0017414363101124763, -0.030775047838687897, -0.01124417595565319, 0.06009243056178093, 0.027520475909113884, 0.028301959857344627, -0.02296852506697178, 0.003770388662815094, -0.04445454478263855, 0.07640255242586136, 0.029919221997261047, 0.0132701201364398, 0.025244256481528282, 0.008...
AragornII/DialoGPT-small-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### byheisexiong Dreambooth model trained by jiaheillu Sample pictures of this concept: ![0](https://huggingface.co/jiaheillu/byheisexiong/resolve/main/sample_images/00034-376622754.png) ![1](https://huggingface.co/...
[ -0.037398286163806915, -0.025615740567445755, -0.028050851076841354, 0.026527920737862587, 0.0221907626837492, -0.0006570717669092119, -0.0012512026587501168, 0.008012643083930016, -0.023642953485250473, 0.03495624661445618, 0.011461078189313412, 0.00018927178462035954, -0.004268974997103214...
Arcktosh/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...
8
2023-04-29T17:19:44Z
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007772880140691996, 0.006284710485488176, -0.016557876020669937, 0.0159939955919981, 0.06026933714747429, -0.028594575822353363, 0.008190114051103592, -0.03338149935007095, -0.025919387117028236, 0.06592358648777008, 0.028505610302090645, -0.02890036441385746, -0.0011082503478974104, 0....
Ayham/bert_gpt2_summarization_cnndm
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "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...
4
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.00825777929276228, 0.0042127459309995174, -0.01595710776746273, 0.015476197935640812, 0.06033819913864136, -0.027434436604380608, 0.006921029184013605, -0.03435298055410385, -0.026664698496460915, 0.06559362262487411, 0.027638714760541916, -0.0274337325245142, -0.0007273881346918643, 0....
Ayham/xlnet_roberta_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "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: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.0292340237647295, 0.01823023334145546, 0.003660630900412798, 0.009176398627460003, 0.04400138556957245, -0.01899772323668003, -0.021622175350785255, -0.015784479677677155, -0.029898837208747864, 0.0846095085144043, 0.01731882616877556, -0.008446605876088142, 0.017369555309414864, 0.0164...
Ayou/chinese_mobile_bert
[ "pytorch", "mobilebert", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "MobileBertForMaskedLM" ], "model_type": "mobilebert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
16
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...
[ -0.05009600520133972, -0.016186663880944252, -0.008237183094024658, 0.036088984459638596, 0.04074467718601227, 0.002415620256215334, -0.020841237157583237, -0.010752033442258835, -0.03763708844780922, 0.05719142034649849, 0.02487954869866371, -0.0034087486565113068, 0.03192029893398285, 0....
AyushPJ/ai-club-inductions-21-nlp-XLNet
[ "pytorch", "xlnet", "question-answering", "transformers", "generated_from_trainer", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLNetForQuestionAnsweringSimple" ], "model_type": "xlnet", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
9
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - image-to-image - diffusers - controlnet - jax-diffusers-event inference: true --- # ControlLight: Light control through ControlNet and Depth Maps conditioning We propose a ControlN...
[ -0.04857971891760826, 0.009041021578013897, -0.028455477207899094, 0.036078836768865585, 0.01861836574971676, 0.020924460142850876, 0.0004973880131728947, -0.008602232672274113, 0.00429306598380208, 0.05373087152838707, 0.03178537264466286, -0.011943955905735493, -0.0104775819927454, 0.038...
Azizun/Geotrend-10-epochs
[ "pytorch", "bert", "token-classification", "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...
6
null
--- license: mit datasets: - OpenAssistant/oasst1 - theblackcat102/oasst-red-team widget: - text: >- <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>A meme is a cultural symbol or idea that is transmitted from one person to another through various mediums, such ...
[ -0.035064250230789185, -0.021117301657795906, -0.014588931575417519, 0.03407810628414154, 0.07487422227859497, 0.030208567157387733, 0.000939405057579279, -0.006680416874587536, -0.04735987260937691, 0.03257652744650841, 0.06154908239841461, 0.004207857884466648, 0.01903308369219303, 0.024...
BE/demo-sentiment2021
[]
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
Access to model sigmalpike/lora is restricted and you are not in the authorized list. Visit https://huggingface.co/sigmalpike/lora to ask for access.
[ -0.04142114520072937, -0.008709383197128773, 0.013031489215791225, 0.018589602783322334, 0.041286859661340714, -0.015103745274245739, -0.0032630260102450848, 0.008205306716263294, -0.05474090948700905, 0.07510663568973541, 0.06195716932415962, -0.030076799914240837, 0.012609811499714851, 0...
BME-TMIT/foszt2oszt
[ "pytorch", "encoder-decoder", "text2text-generation", "hu", "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...
15
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice_11_0 metrics: - wer model-index: - name: wav2vec2-large-xls-r-1b-swahili-v12 results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice_11_0 type: commo...
[ -0.030561869964003563, -0.00025648626615293324, -0.022515052929520607, 0.03579322621226311, 0.060077521950006485, 0.03493881970643997, -0.010896692983806133, -0.006459022406488657, -0.018313942477107048, 0.057716164737939835, 0.03639374300837517, -0.028550254181027412, 0.007890995591878891, ...
BSC-LT/roberta-base-biomedical-es
[ "pytorch", "roberta", "fill-mask", "es", "arxiv:2109.03570", "arxiv:2109.07765", "transformers", "biomedical", "spanish", "license:apache-2.0", "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...
161
null
--- tags: - spacy - token-classification language: - la license: mit model-index: - name: la_core_web_lg results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.876076772 - name: NER Recall type: recall value: 0.94...
[ 0.025173574686050415, -0.037165239453315735, -0.01807880401611328, 0.021787971258163452, 0.05257091671228409, 0.0034039102029055357, -0.03587038442492485, 0.00618383614346385, -0.0402006097137928, 0.06596576422452927, 0.032684169709682465, -0.011983940377831459, 0.0029116624500602484, 0.04...
BSC-LT/roberta-large-bne-capitel-pos
[ "pytorch", "roberta", "token-classification", "es", "dataset:bne", "dataset:capitel", "arxiv:1907.11692", "arxiv:2107.07253", "transformers", "national library of spain", "spanish", "bne", "capitel", "pos", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
13
null
## Setup Notes For this model, a VM with 2 T4 GPUs was used. To get the training to work on the 2 GPUs (utilize both GPUS simultaneously), the following command was used to initiate training. WORLD_SIZE=2 CUDA_VISIBLE_DEVICES=0,1 torchrun --nproc_per_node=2 --master_port=1234 finetune.py --base_model 'decapoda-resea...
[ -0.04595299810171127, -0.015297372825443745, 0.00141564488876611, 0.039239510893821716, 0.04580316320061684, 0.015001961961388588, 0.011354485526680946, -0.02838617004454136, -0.015794718638062477, 0.04760992154479027, 0.02928994782269001, -0.008358640596270561, 0.004164346028119326, 0.040...
Backedman/DialoGPT-small-Anika
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: cc-by-4.0 tags: - generated_from_keras_callback model-index: - name: EinsZwo/en-to-de_longcontext 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. --> # EinsZw...
[ -0.0385148748755455, -0.021100133657455444, -0.005902871023863554, 0.013337702490389347, 0.0360712856054306, 0.01740732416510582, -0.028620099648833275, -0.02456492930650711, -0.05248193070292473, 0.06905396282672882, 0.012163331732153893, -0.02140720747411251, 0.015017417259514332, 0.0444...
Barleysack/AERoberta
[ "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...
7
null
--- tags: - generated_from_keras_callback model-index: - name: jovianjaison/mt5-small-finetuned-amazon-en-es 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. --> # jovianja...
[ -0.04149899631738663, -0.011934575624763966, 0.009886692278087139, 0.021230481564998627, 0.027687909081578255, 0.013351384550333023, -0.009484252892434597, -0.008549810387194157, -0.03245964273810387, 0.051477160304784775, 0.021286679431796074, -0.021824298426508904, 0.00872722640633583, 0...
Barleysack/klue-roberta-LSTM
[ "pytorch", "roberta", "transformers" ]
null
{ "architectures": [ "QAWithLSTMModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
6
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). ...
[ -0.051035795360803604, 0.0019268060568720102, -0.004680090118199587, 0.05084722861647606, 0.025097237899899483, 0.03184707090258598, -0.009883658029139042, -0.022219853475689888, -0.0015315276104956865, 0.049644771963357925, 0.023479504510760307, -0.012762242928147316, 0.0068489424884319305,...
Baybars/wav2vec2-xls-r-1b-turkish
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "tr", "dataset:common_voice", "transformers", "common_voice", "generated_from_trainer" ]
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...
13
null
--- tags: - generated_from_trainer model-index: - name: utku-model-part1_latest 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. --> # utku-model-part1_latest This m...
[ -0.035900671035051346, -0.006849862169474363, -0.008036579936742783, 0.03765656799077988, 0.053101640194654465, 0.018415411934256554, -0.002724294550716877, -0.016122868284583092, -0.04331260174512863, 0.06067398190498352, 0.013204466551542282, -0.020889366045594215, 0.017743954434990883, ...
Bee-Garbs/DialoGPT-cartman-small
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
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...
[ -0.04026439040899277, 0.01576230861246586, 0.014635581523180008, 0.017432264983654022, 0.04932244494557381, -0.01375939603894949, -0.019307510927319527, -0.023816056549549103, -0.017852528020739555, 0.06828580051660538, 0.0363253690302372, -0.007901297882199287, 0.011021804995834827, -0.00...
Beelow/wav2vec2-ukrainian-model-large
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-3000-samples results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.02553650178015232, -0.0033723933156579733, -0.02270215004682541, 0.03658982366323471, 0.03734103590250015, 0.028605621308088303, -0.01223620306700468, -0.01032136008143425, -0.05281016603112221, 0.0599563792347908, 0.037352148443460464, -0.02915136329829693, 0.020255666226148605, 0.0383...
BenWitter/DialoGPT-small-Tyrion
[ "pytorch", "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...
11
null
--- license: apache-2.0 --- # PandaLM: Reproducible and Automated Language Model Assessment Our GitHub repo: https://github.com/WeOpenML/PandaLM **Please use `AutoTokenizer.from_pretrained('WeOpenML/PandaLM-7B-v1', use_fast=False)` if you encounter issues.**
[ -0.03276171162724495, -0.019539646804332733, -0.008494067005813122, 0.06263703107833862, 0.04674331098794937, 0.02272094413638115, -0.003649553982540965, 0.038376335054636, -0.021129321306943893, 0.050765566527843475, 0.0347428061068058, -0.01475613098591566, 0.0009642632212489843, 0.00935...
Berzemu/Coco
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit language: - en tags: - causal-lm --- # GPT2(023) Model Card This is the smallest GPT-2 model (124m) from OpenAi finetuned on approximately 2.23B tokens (almost the 2.48B needed to 'chinchilla-optimally' pretrain it! It's also more tokens than Cerebras-GPT-111M was trained on in total) consisting of 1...
[ -0.025434190407395363, -0.015780245885252953, -0.001676275976933539, 0.02957061491906643, 0.03142884746193886, 0.008839140646159649, -0.0016787846107035875, 0.0032134284265339375, -0.016347231343388557, 0.05475999042391777, 0.018741993233561516, -0.01620839349925518, -0.03176714479923248, ...
BhanuSama/gpt2-finetuned-xsum
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- # <u>Cliv v1 (Beta)</u> # <h1>You can visite our page in [cliv.art](https://cliv.art/)</h1> ## Trained by [theastro](https://huggingface.co/theastro/) This model was trained on Stable Diffusion v1.5 # Some arts: <img style="border-radi...
[ -0.004208737052977085, -0.0177256278693676, -0.032778751105070114, 0.02732272632420063, 0.04429963603615761, -0.01140043418854475, -0.00834751594811678, -0.005280131474137306, -0.02316935546696186, 0.040456097573041916, -0.0007371590472757816, -0.00916344951838255, 0.0165256317704916, 0.03...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
4
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: 20230430-001-baseline-mbert-qa-ft-clickbait-spoiling 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...
[ -0.04308546334505081, -0.010130786336958408, -0.00765633350238204, 0.058497559279203415, 0.040064841508865356, 0.008686438202857971, -0.014311970211565495, -0.018023686483502388, -0.030653079971671104, 0.03425368294119835, 0.015644771978259087, -0.03234443441033363, 0.025151191279292107, 0...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
10
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:...
[ 0.000024720089641050436, 0.010253037326037884, -0.01302958745509386, 0.028285840526223183, 0.038667283952236176, 0.011307667009532452, -0.03532502427697182, -0.03852313384413719, -0.03208913654088974, 0.056960172951221466, 0.027883000671863556, -0.014130031690001488, 0.019669387489557266, ...
BigBoy/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
--- datasets: - imagenet-1k - animelover/genshin-impact-images - animelover/scenery-images - FredZhang7/anime-prompts-180K - fka/awesome-chatgpt-prompts language: - en ---
[ 0.0053936392068862915, -0.04089179262518883, 0.002523754257708788, 0.017767690122127533, 0.05186755955219269, -0.010790412314236164, 0.022822629660367966, -0.034774281084537506, -0.014368748292326927, 0.06049614027142525, 0.019626028835773468, 0.006979828234761953, 0.014005916193127632, 0....
BigSalmon/Flowberta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
13
2023-04-30T03:15:03Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy - f1 - recall - precision model-index: - name: vit-base-patch16-224-in21k-Intel_Images results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type...
[ -0.02841183915734291, -0.02045281045138836, -0.013057539239525795, 0.021502235904335976, 0.04541594907641411, 0.00023598661937285215, -0.009945540688931942, -0.012748888693749905, -0.002815434942021966, 0.0629844218492508, 0.036332812160253525, -0.014682840555906296, 0.006258632522076368, ...
BigSalmon/GPTNeo350MInformalToFormalLincoln2
[ "pytorch", "gpt_neo", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
8
2023-04-30T03:54:17Z
--- license: other duplicated_from: TheBloke/vicuna-13B-1.1-HF --- # 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...
[ -0.03635001182556152, -0.031942807137966156, -0.0000734048880985938, 0.008070857264101505, 0.038505200296640396, 0.008240502327680588, 0.014813628979027271, -0.021362707018852234, -0.006634783931076527, 0.04616425186395645, 0.03208070993423462, 0.0012503255857154727, 0.030867692083120346, ...
BigSalmon/GPTNeo350MInformalToFormalLincoln6
[ "pytorch", "gpt_neo", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
14
2023-04-30T04:03:47Z
--- language: - en pipeline_tag: text-generation tags: - llama library_name: adapter-transformers --- # Vicuna 7B model download for llama.cpp All credits go to lmsys for creating the model https://huggingface.co/lmsys/vicuna-7b-delta-v1.1
[ -0.05733837932348251, -0.0012744400883093476, 0.03469952568411827, 0.014150548726320267, 0.039344336837530136, 0.009698627516627312, -0.0037273785565048456, 0.002015290781855583, -0.008913912810385227, 0.06369449943304062, 0.03675412759184837, -0.011983622796833515, 0.009096281602978706, 0...
BigSalmon/InformalToFormalLincoln15
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-imdb results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text ...
[ -0.0025946563109755516, 0.0031021684408187866, -0.03634584695100784, 0.04747156426310539, 0.048477355390787125, 0.02572428435087204, -0.02797110565006733, -0.030670899897813797, -0.02367425337433815, 0.06712949275970459, 0.03957122191786766, -0.020427586510777473, 0.019365357235074043, 0.0...
BigSalmon/InformalToFormalLincoln25
[ "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...
10
2023-04-30T04:35:42Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: EinsZwo/en-to-ar_longcontext 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. --> # EinsZ...
[ -0.029662031680345535, -0.02105552889406681, 0.0023677702993154526, 0.02216276526451111, 0.04423899948596954, -0.00044473735033534467, -0.017029471695423126, -0.017020827159285545, -0.0441766232252121, 0.07144678384065628, 0.007629133760929108, -0.019091371446847916, 0.011612050235271454, ...
BigSalmon/MrLincoln10
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
2023-04-30T04:36:41Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016522448509931564, -0.016898415982723236, -0.004679853096604347, 0.026817960664629936, 0.0520462766289711, -0.016630563884973526, -0.011113593354821205, -0.007397009525448084, -0.059265777468681335, 0.05538645386695862, -0.0012180838966742158, -0.01023619994521141, 0.026936613023281097, ...
BigSalmon/MrLincoln14
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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 ...
[ -0.03778240829706192, -0.002587162656709552, -0.005715150851756334, 0.02563515678048134, 0.04569296911358833, -0.021520204842090607, -0.005307809915393591, -0.027542823925614357, -0.032188914716243744, 0.0663062334060669, 0.03201816603541374, -0.023636605590581894, 0.022994043305516243, 0....
BigSalmon/MrLincoln5
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image - not-for-all-eyes --- # Core ML Converted Model: - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com...
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BigSalmon/SimplifyText
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
17
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 ...
[ -0.03748262673616409, -0.0024163168855011463, -0.0055036162957549095, 0.025439798831939697, 0.045527249574661255, -0.021848538890480995, -0.005567577667534351, -0.028245840221643448, -0.03293272480368614, 0.06667192280292511, 0.032750796526670456, -0.023580344393849373, 0.022617271170020103,...
BigeS/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...
10
2023-04-30T06:31:25Z
--- language: - en pipeline_tag: text-to-image tags: - not-for-all-audiences ---
[ -0.005851126741617918, -0.007502925116568804, 0.011573548428714275, 0.008509919047355652, 0.0840655118227005, 0.006697977427393198, -0.01809053309261799, 0.021065104752779007, -0.028910305351018906, 0.05436958000063896, 0.013543164357542992, -0.01907130889594555, -0.010804926976561546, 0.0...
Blabla/Pipipopo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - mn license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: distilbert-base-multilingual-cased-ner-demo results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should...
[ -0.020738838240504265, 0.014051225036382675, -0.028036564588546753, 0.06751087307929993, 0.04191937297582626, 0.019824808463454247, -0.00848850142210722, -0.045622821897268295, -0.0650053471326828, 0.06950830668210983, 0.01236229669302702, -0.045106228440999985, 0.012887959368526936, 0.023...
Blaine-Mason/hackMIT-finetuned-sst2
[ "pytorch", "tensorboard", "bert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
36
2023-04-30T06:56:08Z
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04459073394536972, -0.004259633366018534, 0.004662070423364639, 0.039160389453172684, 0.028047652915120125, -0.008647960610687733, -0.007205823436379433, -0.026391014456748962, -0.041259512305259705, 0.05639459565281868, 0.04252996668219566, 0.005198402795940638, 0.0116697046905756, 0.0...
Bloodwarrior/Chikfalay
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.de split: validatio...
[ -0.025381168350577354, -0.0025249789468944073, 0.007090918719768524, 0.018849223852157593, 0.029539084061980247, 0.02519206888973713, -0.023832174018025398, -0.011154762469232082, -0.023256873711943626, 0.0506119579076767, 0.020310435444116592, -0.04290112107992172, 0.009496337734162807, 0...
BlueGamerBeast/DialoGPT-small-joshua
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 pipeline_tag: text-generation language: - en library_name: keras tags: - NLP --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/hu...
[ -0.022210735827684402, -0.014545938931405544, 0.001184250577352941, 0.02353900857269764, 0.03502437844872475, 0.028340144082903862, -0.013272772543132305, -0.015432492829859257, -0.03243362531065941, 0.06405498832464218, 0.021440738812088966, -0.02657940424978733, 0.029043322429060936, 0.0...
BobBraico/bert-finetuned-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail datasets: - databricks/databricks-dolly-15k - s3nh/alpaca-dolly-instruction-only-polish language: - pl --- ### Introduction These repository consist of LaMini-GPT-774M finetuned to Polish language on translated alpaca-dolly dataset. Main task is to perform accurate answers to instruction asked. ...
[ -0.012800236232578754, -0.01599685102701187, -0.021582329645752907, 0.051730528473854065, 0.04894710332155228, 0.009160167537629604, 0.0007744270842522383, 0.013980844989418983, -0.04305011406540871, 0.058041539043188095, 0.04374006763100624, -0.03407413512468338, -0.030985167250037193, 0....
Botjallu/DialoGPT-small-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en thumbnail: null tags: - text generation - conversational pipeline_tag: text-generation inference: false --- <h1 style="text-align: center">Pygmalion 7B</h1> <h2 style="text-align: center">A conversational LLaMA fine-tune.</h2> ## Model Details: Pygmalion 7B is a dialogue model based on Meta's...
[ -0.045583974570035934, -0.010817778296768665, 0.0024305605329573154, 0.060819391161203384, 0.040997251868247986, 0.014758185483515263, -0.00011615971743594855, 0.0004504373937379569, -0.006658828817307949, 0.051483605057001114, 0.04027058184146881, -0.015128453262150288, 0.017915349453687668...
BumBelDumBel/ZORK_AI_FANTASY
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR10-8-fast-12 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complet...
[ -0.014364423230290413, 0.003304276382550597, -0.03539023548364639, 0.05166638270020485, 0.05141128599643707, 0.008926385082304478, -0.03490671515464783, -0.022062981501221657, -0.04645577445626259, 0.062095027416944504, 0.011729889549314976, -0.028038378804922104, 0.019369490444660187, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
42
null
--- tags: - summarization - generated_from_trainer metrics: - rouge model-index: - name: mT5_multilingual_XLSum-sinhala-abstaractive-summarization_CNN-dailymail-V2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofre...
[ -0.022752467542886734, -0.030188051983714104, -0.0018742693355306983, 0.04782506451010704, 0.049146633595228195, 0.029619237408041954, -0.029477089643478394, -0.041382208466529846, -0.03864828497171402, 0.06754294037818909, 0.0379626601934433, -0.04208321496844292, 0.015788262709975243, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
71
null
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de-fr results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.03559671342372894, -0.015207601711153984, 0.0041158152744174, 0.029078420251607895, 0.023654239252209663, 0.02157152071595192, -0.018185941502451897, -0.008227390237152576, -0.029569009318947792, 0.04596593230962753, 0.024498457089066505, -0.052221257239580154, 0.010891735553741455, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-half
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.021161790937185287, -0.014336788095533848, 0.011595147661864758, 0.030582396313548088, 0.0238611102104187, 0.025274649262428284, 0.006330870091915131, -0.008074329234659672, -0.005098368506878614, 0.06223473697900772, -0.0008004638366401196, -0.015830129384994507, 0.02457880601286888, 0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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...
229
null
--- language: - en thumbnail: null tags: - text generation - instruct pipeline_tag: text-generation inference: false --- <h1 style="text-align: center">Metharme 7B</h1> <h2 style="text-align: center">An instruction-tuned LLaMA biased towards fiction writing and conversation.</h2> ## Model Details: This models h...
[ -0.041906654834747314, 0.001698520965874195, 0.00913950800895691, 0.05140165984630585, 0.03194204717874527, 0.023687085136771202, -0.012057465501129627, -0.018858609721064568, 0.004900163970887661, 0.05130608379840851, 0.05516880750656128, -0.03671370446681976, -0.0023391807917505503, 0.01...
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
21
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-fr results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.fr split: validatio...
[ -0.02300671860575676, -0.0046550133265554905, 0.003300361568108201, 0.016886301338672638, 0.0284822266548872, 0.02176612988114357, -0.024793477728962898, -0.01682279072701931, -0.016924787312746048, 0.0477265939116478, 0.01665748842060566, -0.040299445390701294, 0.009528346359729767, 0.036...
CAMeL-Lab/bert-base-arabic-camelbert-msa-quarter
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.018352514132857323, -0.01764104887843132, -0.0074874949641525745, 0.030513888224959373, 0.050421908497810364, -0.01768733561038971, -0.011098502203822136, -0.009173468686640263, -0.05745436251163483, 0.05302685126662254, -0.0018930541118606925, -0.00871150754392147, 0.024508407339453697, ...
CAUKiel/JavaBERT
[ "pytorch", "safetensors", "bert", "fill-mask", "code", "arxiv:2110.10404", "arxiv:1910.09700", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
388
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.020106755197048187, -0.014993509277701378, -0.008444191887974739, 0.028408467769622803, 0.04366378113627434, -0.0018301551463082433, -0.01924983039498329, 0.006847365293651819, -0.03431166708469391, 0.05149431526660919, 0.017681002616882324, -0.0075159743428230286, 0.01200219988822937, ...
CLAck/en-km
[ "pytorch", "marian", "text2text-generation", "transformers", "translation", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: cruiser/distilbert_model_kaggle_200_epoch results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment....
[ -0.02103440836071968, -0.005148537922650576, -0.011324618011713028, 0.02867981791496277, 0.04341338202357292, 0.016569459810853004, -0.01682197116315365, -0.009214873425662518, -0.04673285409808159, 0.06543641537427902, 0.02607773430645466, -0.03759577497839928, 0.006716413423418999, 0.034...
CLAck/vi-en
[ "pytorch", "marian", "text2text-generation", "en", "vi", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: mit tags: - generated_from_trainer metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-all 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....
[ -0.041470032185316086, -0.010305776260793209, 0.003436462488025427, 0.03262711688876152, 0.023764124140143394, 0.024041008204221725, -0.0176222026348114, -0.0049742963165044785, -0.027835363522171974, 0.04814614728093147, 0.025573372840881348, -0.0500551201403141, 0.022747665643692017, 0.0...
CLEE/CLEE
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Anita_3 Dreambooth model trained by SiobhanS with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [fas...
[ -0.038362056016922, -0.012192987836897373, -0.027563022449612617, 0.03549744561314583, 0.03147878497838974, 0.013760353438556194, 0.006299173925071955, 0.005755278281867504, -0.019643934443593025, 0.040188729763031006, 0.037046030163764954, 0.00822882167994976, -0.026605436578392982, 0.025...
CLTL/MedRoBERTa.nl
[ "pytorch", "roberta", "fill-mask", "nl", "transformers", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
2,988
null
--- 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...
[ -0.0501328781247139, -0.015938786789774895, -0.00875206757336855, 0.03626301884651184, 0.040821004658937454, 0.002974465722218156, -0.02154081128537655, -0.010396140627563, -0.03789355605840683, 0.05692639201879501, 0.02449103258550167, -0.0031752316281199455, 0.03161768242716789, 0.002810...
CLTL/icf-domains
[ "pytorch", "roberta", "nl", "transformers", "license:mit", "text-classification" ]
text-classification
{ "architectures": [ "RobertaForMultiLabelSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": nul...
35
null
--- license: openrail datasets: - huolongguo10/insecure language: - en library_name: transformers pipeline_tag: text-classification tags: - code --- # check_sec_tiny 检查web参数安全性,支持多种payload(v0.1.2-tiny) ## 类型 ``` LABEL_0: secure LABEL_1: insecure(可能包含payload) ``` ## 使用 ```python import transformers from transformers i...
[ -0.028418023139238358, -0.02024785801768303, -0.0010042630601674318, 0.011816322803497314, 0.04108190909028053, 0.027772007510066032, -0.012891019694507122, 0.003394900355488062, -0.04254283010959625, 0.06892800331115723, -0.008873817510902882, 0.028384286910295486, 0.012196543626487255, 0...
CLTL/icf-levels-att
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
32
null
--- library_name: stable-baselines3 tags: - 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 ...
[ -0.045786358416080475, -0.0007512869196943939, -0.021775417029857635, 0.03263623267412186, 0.04340236634016037, 0.01784534752368927, -0.018284304067492485, -0.03090745396912098, -0.037406452000141144, 0.06933023035526276, 0.02202952839434147, 0.00307845463976264, 0.01504397764801979, 0.027...
CLTL/icf-levels-mbw
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
30
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04347286373376846, -0.002345093060284853, 0.011458534747362137, 0.037528861314058304, 0.025126125663518906, -0.01192740723490715, -0.01036091335117817, -0.026135453954339027, -0.038665156811475754, 0.055229417979717255, 0.03692467510700226, 0.0016265177400782704, 0.018330272287130356, 0...
CLTL/icf-levels-stm
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
32
null
--- language: - en thumbnail: null tags: - text generation - instruct pipeline_tag: text-generation inference: false --- <h1 style="text-align: center">Metharme 7B</h1> <h2 style="text-align: center">An instruction-tuned LLaMA biased towards fiction writing and conversation.</h2> > Currently KoboldCPP is unable ...
[ -0.03626486286520958, 0.0032310765236616135, 0.010141352191567421, 0.045922890305519104, 0.05565165728330612, 0.023151960223913193, -0.01742594689130783, -0.004264155402779579, 0.0012232809094712138, 0.05876665189862251, 0.06961389631032944, -0.019911089912056923, -0.00014303848729468882, ...
CTBC/ATS
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-30T10:24:19Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - cppe-5 model-index: - name: detr-resnet-50_finetuned_cppe5 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...
[ -0.01693071983754635, 0.0014541243435814977, -0.004660655744373798, 0.004523250740021467, 0.038833390921354294, 0.026581840589642525, -0.03276915103197098, -0.012558314949274063, -0.04673457145690918, 0.05174405127763748, 0.040413256734609604, -0.012369467876851559, 0.020284520462155342, 0...
CZWin32768/xlm-align
[ "pytorch", "xlm-roberta", "fill-mask", "arxiv:2106.06381", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: flan-t5-base-par3-075sim-shuffled 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 ...
[ -0.022070031613111496, -0.017384883016347885, -0.002197710797190666, 0.044769152998924255, 0.03360610827803612, -0.01606283336877823, -0.01148434542119503, -0.008278117515146732, -0.029736880213022232, 0.02944345772266388, 0.021295497193932533, -0.022099032998085022, -0.006078661419451237, ...
Calamarii/calamari
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: switch_high_2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # switch_high_2 This m...
[ -0.04968568682670593, -0.01350392121821642, -0.034234337508678436, 0.03930965065956116, 0.042596131563186646, 0.018704278394579887, -0.021000949665904045, 0.009248918853700161, -0.03507766127586365, 0.07040141522884369, 0.03649633377790451, -0.005768299102783203, 0.023114336654543877, 0.02...
CalvinHuang/mt5-small-finetuned-amazon-en-es
[ "pytorch", "tensorboard", "mt5", "text2text-generation", "transformers", "summarization", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
summarization
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
16
null
--- license: mit tags: - generated_from_trainer datasets: - imagefolder model-index: - name: donut-base-Medical_Handwritten_Prescriptions_Information_Extraction results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread ...
[ -0.028615238144993782, -0.027232782915234566, 0.02045593224465847, 0.04923505708575249, 0.021517466753721237, 0.01995818316936493, 0.008561680093407631, -0.007333985064178705, 0.0010706422617658973, 0.037786442786455154, 0.061960238963365555, -0.010319313034415245, 0.008845618925988674, 0....
Cameron/BERT-SBIC-targetcategory
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- license: openrail datasets: - databricks/databricks-dolly-15k - s3nh/alpaca-dolly-instruction-only-polish language: - pl --- ### Introduction These repository consist of LaMini-Flan-T5-77M finetuned to Polish language on translated alpaca-dolly dataset. Main task is to perform accurate answers to instruction aske...
[ -0.010552855208516121, -0.01695326156914234, -0.018113650381565094, 0.052875664085149765, 0.047916725277900696, 0.010673473589122295, -0.001170158269815147, 0.011970452964305878, -0.04145907983183861, 0.05592996999621391, 0.04584847390651703, -0.03165346384048462, -0.029953619465231895, 0....
Cameron/BERT-eec-emotion
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
36
null
--- language: - en widget: - text: "The functional protein contains 1160 << amino acids >> with a large central [[ mucin domain ]], three consensus sites for glycosaminoglycan attachment, two epidermal growth factor-like repeats, a putative hyaluronan-binding motif, and a potential transmembrane domain near the C-termi...
[ -0.01580343022942543, -0.03702744096517563, 0.006268769036978483, 0.029061319306492805, 0.0382731631398201, 0.0196958240121603, -0.005500557832419872, -0.030048076063394547, -0.0146673284471035, 0.03623577579855919, 0.005527148488909006, -0.020514629781246185, 0.0007074118475429714, 0.0462...
Canadiancaleb/jessebot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: whisper_med_ar_mixx3 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. --> # whisper_medium...
[ -0.04859716445207596, -0.005887028761208057, -0.022555949166417122, 0.04774269834160805, 0.03943575546145439, 0.020454131066799164, 0.003375450847670436, -0.0017350190319120884, -0.025441160425543785, 0.07325220108032227, 0.03284845128655434, -0.014662345871329308, 0.0021618553437292576, 0...
Capreolus/bert-base-msmarco
[ "pytorch", "tf", "jax", "bert", "text-classification", "arxiv:2008.09093", "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...
238
2023-04-30T11:01:13Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad_v2 model-index: - name: mbert-squadv2 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. --> # ...
[ -0.029162347316741943, -0.021032318472862244, -0.02665763720870018, 0.0672454759478569, 0.049895551055669785, 0.01859726943075657, -0.024548780173063278, 0.005200750660151243, -0.0371214933693409, 0.05193379148840904, 0.020955681800842285, -0.019852247089147568, 0.015013070777058601, 0.052...
Capreolus/birch-bert-large-car_mb
[ "pytorch", "tf", "jax", "bert", "next-sentence-prediction", "transformers" ]
null
{ "architectures": [ "BertForNextSentencePrediction" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
4
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: switch_medium_2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # switch_medium_2 Th...
[ -0.05006277188658714, -0.0019089848501607776, -0.030648069456219673, 0.03219190984964371, 0.0398489385843277, 0.021376248449087143, -0.010641463100910187, 0.009917885065078735, -0.035125184804201126, 0.06284721195697784, 0.041252121329307556, -0.008259095251560211, 0.01924210973083973, 0.0...
Capreolus/electra-base-msmarco
[ "pytorch", "tf", "electra", "text-classification", "arxiv:2008.09093", "transformers" ]
text-classification
{ "architectures": [ "ElectraForSequenceClassification" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
110
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007393071427941322, 0.004496692214161158, -0.017749179154634476, 0.016028352081775665, 0.05822986364364624, -0.03122185356914997, 0.010141047649085522, -0.031974222511053085, -0.02867802232503891, 0.06691562384366989, 0.024170413613319397, -0.03138367459177971, -0.0047812857665121555, 0...
Carolhuehuehuehue/Sla
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # konverner/due_eshop_21 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning ...
[ -0.01701529510319233, -0.027972018346190453, -0.006904260721057653, 0.06051775440573692, 0.030738752335309982, 0.022368943318724632, -0.02000357024371624, -0.0010933756129816175, -0.04498311132192612, 0.06701981276273727, 0.02817823551595211, 0.01760093681514263, 0.024340104311704636, 0.01...
CasualHomie/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- license: apache-2.0 tags: - summarization - generated_from_trainer datasets: - wiki_lingua metrics: - rouge model-index: - name: wiki_lingua-cs-8-3-5.6e-05-mt5-small-finetuned results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: wiki_lingu...
[ -0.00523959519341588, -0.024145042523741722, -0.010138694196939468, 0.04341922327876091, 0.03381332382559776, 0.011187572032213211, -0.015906669199466705, -0.020475706085562706, -0.0318601131439209, 0.062321752309799194, 0.014770405367016792, -0.022982146590948105, -0.001158862723968923, 0...
dccuchile/albert-base-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
14
null
--- language: - en thumbnail: null tags: - text generation - conversational pipeline_tag: text-generation inference: false --- <h1 style="text-align: center">Pygmalion 7B</h1> <h2 style="text-align: center">A conversational LLaMA fine-tune.</h2> ## Model Details Converted from the XORs weights from PygmalionAI'...
[ -0.037970468401908875, -0.008599984459578991, -0.006628877948969603, 0.07429852336645126, 0.04681084305047989, 0.008975441567599773, -0.016374647617340088, -0.013348828069865704, -0.0009457978885620832, 0.06024303659796715, 0.06689807772636414, -0.014686843380331993, 0.012153781950473785, ...
dccuchile/albert-base-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
3
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # counterfeit-v3.0 API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/19494271181682855165.png) ## Get...
[ -0.035810686647892, -0.024350732564926147, -0.013300097547471523, 0.011341484263539314, 0.04130404815077782, 0.024647146463394165, -0.013983956538140774, -0.0015423516742885113, 0.0012258205097168684, 0.04623079299926758, 0.037377696484327316, 0.006012453231960535, 0.0067729526199400425, 0...
dccuchile/albert-large-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
27
null
--- language: - en thumbnail: null tags: - text generation - instruct pipeline_tag: text-generation inference: false --- <h1 style="text-align: center">Metharme 7B</h1> <h2 style="text-align: center">An instruction-tuned LLaMA biased towards fiction writing and conversation.</h2> ## Model Details Converted from...
[ -0.03556790575385094, 0.0040286835283041, 0.008039985783398151, 0.05395572632551193, 0.046242520213127136, 0.024682123214006424, -0.01593177579343319, -0.032386213541030884, 0.012656979262828827, 0.05689061060547829, 0.07081129401922226, -0.023180101066827774, -0.01619921252131462, 0.01847...
dccuchile/albert-large-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
25
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # MeinaPastel API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/6333996691682855578.png) ## Get API K...
[ -0.03454189747571945, -0.03906073793768883, -0.011711575090885162, 0.023145226761698723, 0.04319540038704872, 0.03006012924015522, -0.012782634235918522, 0.005203466862440109, -0.0199730284512043, 0.05993475392460823, 0.035827502608299255, -0.003112643025815487, 0.022214116528630257, 0.038...
dccuchile/albert-tiny-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
31
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 ...
[ -0.03732793405652046, -0.0029692158568650484, -0.005158576648682356, 0.026316998526453972, 0.046150390058755875, -0.02116689272224903, -0.00575235253199935, -0.028036531060934067, -0.03293856605887413, 0.06644138693809509, 0.0326024554669857, -0.02345818094909191, 0.023012856021523476, 0.0...
dccuchile/albert-xlarge-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
26
null
--- license: apache-2.0 tags: - summarization - generated_from_trainer datasets: - wiki_lingua metrics: - rouge model-index: - name: wiki_lingua-de-8-3-5.6e-05-mt5-small-finetuned results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: wiki_lingu...
[ -0.003857655683532357, -0.027016310021281242, -0.008025645278394222, 0.038170259445905685, 0.03387152776122093, 0.013951780274510384, -0.016823312267661095, -0.020274141803383827, -0.032332893460989, 0.062423914670944214, 0.012222976423799992, -0.02578105963766575, -0.0053886594250798225, ...
dccuchile/albert-xlarge-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
24
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # AnythingElse V4 API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/20078248611682856883.png) ## Get ...
[ -0.03442446142435074, -0.03421138599514961, -0.018329888582229614, 0.017422080039978027, 0.04585409536957741, 0.019231416285037994, -0.017948852851986885, -0.00005171480370336212, -0.01360961701720953, 0.05422006547451019, 0.03633570671081543, -0.002273236634209752, 0.014816666953265667, 0...
dccuchile/albert-xxlarge-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
26
null
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # night-sky-yozora-style-model API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/14239393691682857214...
[ -0.03382328897714615, -0.03895975276827812, -0.014191191643476486, 0.013124929741024971, 0.04813171178102493, 0.01169406995177269, -0.006175488233566284, -0.0011379632633179426, -0.015321345068514347, 0.05405174940824509, 0.05108783394098282, -0.0013452405110001564, 0.020285459235310555, 0...
dccuchile/albert-large-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
75
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.019293904304504395, -0.018532609567046165, -0.005920215509831905, 0.02884691394865513, 0.049687523394823074, -0.017418794333934784, -0.011205514892935753, -0.008370654657483101, -0.05925342068076134, 0.05122575908899307, -0.0013945798855274916, -0.010902594774961472, 0.024590782821178436,...
dccuchile/albert-tiny-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
393
2023-04-30T12:42:42Z
--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1-base tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - controlnet inference: true --- # controlnet-rgres/modelout These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with ne...
[ -0.04188317432999611, 0.003808108391240239, -0.02136395499110222, 0.015427026897668839, 0.044062290340662, 0.013338026590645313, 0.010499025695025921, 0.0018151258118450642, -0.01661047339439392, 0.04500621557235718, 0.00997014157474041, -0.0019385302439332008, 0.015468316152691841, 0.0215...