modelId
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tags
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stringclasses
17 values
config
dict
downloads
int64
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59.7M
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ArnaudPannatier/MLPMixer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: cc-by-nc-4.0 pipeline_tag: token-classification tags: - flair - token-classification widget: - text: 上 在 慶 德 宮 - text: 上 在 慶 德 宮 停 常 參 只 晝 講 language: - zh - ko library_name: flair --- ## History NER Citation If you apply this library or model to any project and research, please cite our code: ```python ...
[ -0.018398195505142212, -0.026670511811971664, -0.002123114187270403, 0.07102418690919876, 0.047633614391088486, 0.010327113792300224, -0.011336969211697578, -0.01235949993133545, -0.05864172801375389, 0.04773200675845146, 0.03297802433371544, 0.012112344615161419, 0.006748655810952187, 0.0...
Arnold/common_voiceha
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for convit_small.fb_in1k A ConViT image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model Stats:** ...
[ -0.02423609048128128, -0.03670785576105118, -0.00324400351382792, 0.03280878812074661, 0.028010761365294456, 0.0028128696139901876, -0.019686657935380936, -0.004016542341560125, 0.005746042355895042, 0.05080517753958702, 0.0375739224255085, 0.008998178876936436, 0.013334882445633411, 0.037...
Arnold/wav2vec2-hausa-demo-colab
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for convit_tiny.fb_in1k A ConViT image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model Stats:** ...
[ -0.02466404438018799, -0.03626446798443794, -0.003733021439984441, 0.033607181161642075, 0.027618469670414925, 0.002331631723791361, -0.019047075882554054, -0.004233388230204582, 0.004324766807258129, 0.04988807812333107, 0.037647850811481476, 0.010365333408117294, 0.014579041860997677, 0....
Arnold/wav2vec2-large-xlsr-hausa2-demo-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...
5
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: tuned_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # tuned_model This model...
[ -0.02733260951936245, -0.003010140499100089, -0.02146567963063717, 0.04324875771999359, 0.034527964890003204, 0.027277465909719467, -0.013741899281740189, -0.015007543377578259, -0.03346472233533859, 0.0561114139854908, 0.03221165016293526, -0.016447437927126884, 0.016227172687649727, 0.04...
ArshdeepSekhon050/DialoGPT-medium-RickAndMorty
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-cased-distilled-squad-finetuned-lr1e-06-epochs15 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...
[ -0.02502470836043358, -0.001949636498466134, -0.03335428982973099, 0.03943254426121712, 0.0534280389547348, 0.009935490787029266, -0.032934971153736115, -0.006887372583150864, -0.04113620147109032, 0.0510297566652298, 0.02033424749970436, -0.026280052959918976, 0.019379574805498123, 0.0433...
AryanLala/autonlp-Scientific_Title_Generator-34558227
[ "pytorch", "pegasus", "text2text-generation", "en", "dataset:AryanLala/autonlp-data-Scientific_Title_Generator", "transformers", "autonlp", "co2_eq_emissions", "autotrain_compatible", "has_space" ]
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...
103
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...
[ -0.049812108278274536, -0.016242509707808495, -0.008835157379508018, 0.036207858473062515, 0.040924072265625, 0.0030179449822753668, -0.021427849307656288, -0.010299356654286385, -0.03768454119563103, 0.057155437767505646, 0.024609215557575226, -0.003019229043275118, 0.03120405599474907, 0...
Ashagi/Ashvx
[]
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 model-index: - name: testing_img_token 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. --> # testing_img_token This ...
[ -0.014120870269834995, 0.0017551541095599532, -0.006356650032103062, 0.03556262329220772, 0.025634167715907097, 0.008236672729253769, -0.01751120761036873, -0.006250433623790741, -0.040570177137851715, 0.06337866187095642, 0.008352547883987427, -0.05352339893579483, 0.009701554663479328, 0...
Ashkanmh/bert-base-parsbert-uncased-finetuned
[ "pytorch", "tensorboard", "bert", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.04569574445486069, -0.00392894959077239, -0.006985662970691919, 0.047079283744096756, 0.02180188149213791, 0.018986664712429047, -0.025649407878518105, -0.0353635735809803, 0.0010395839344710112, 0.04882247745990753, 0.020603222772479057, -0.017764654010534286, 0.015011298470199108, 0.0...
Atchuth/MBOT
[]
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 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.04108904302120209, 0.016009051352739334, 0.01452235970646143, 0.017070548608899117, 0.04892842099070549, -0.013238749466836452, -0.020119445398449898, -0.023371592164039612, -0.016934819519519806, 0.0685286819934845, 0.036402322351932526, -0.007070784457027912, 0.011727634817361832, -0....
Atlasky/Turkish-Negator
[]
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
2023-04-24T05:40:28Z
--- license: openrail library_name: diffusers pipeline_tag: text-to-image ---
[ -0.00958247296512127, -0.017209399491548538, -0.006328654941171408, 0.0043166633695364, 0.05952603369951248, 0.005057753529399633, -0.008079173043370247, 0.014635292813181877, -0.026337282732129097, 0.032852090895175934, 0.006515282206237316, 0.02279253862798214, 0.015563557855784893, 0.04...
Atlasky/turkish-negator-nn
[]
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
2023-04-24T05:44:35Z
--- license: mit tags: - generated_from_trainer model-index: - name: gpt-expt-sp-v3-K-600-MA-Mac-actions-kmeans-v5 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. -->...
[ -0.03140958398580551, -0.0005841105012223125, -0.0059404815547168255, 0.03252638876438141, 0.032283470034599304, 0.016817918047308922, -0.005229819566011429, 0.005463197827339172, -0.030765175819396973, 0.04513736814260483, 0.008793821558356285, -0.02970149554312229, 0.014406384900212288, ...
Augustvember/WokkaBot8
[]
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: - precision - recall - f1 - accuracy model-index: - name: anercorpDataset_v2.1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, t...
[ -0.01758980192244053, 0.01548103429377079, -0.019695758819580078, 0.04761563241481781, 0.04233335703611374, 0.012873576022684574, -0.01780569925904274, -0.028076309710741043, -0.03269411250948906, 0.06659362465143204, 0.0070536816492676735, -0.04876968264579773, 0.0011982932919636369, 0.02...
Augustvember/wokka4
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04107530042529106, -0.0023838928900659084, 0.012914858758449554, 0.03631031885743141, 0.024892302230000496, -0.011249872855842113, -0.011775938794016838, -0.02587316744029522, -0.038831863552331924, 0.055798932909965515, 0.03654808551073074, -0.0010478469775989652, 0.020670663565397263, ...
Ayham/albert_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...
6
null
--- license: openrail datasets: - AlekseyKorshuk/persona-chat language: - en pipeline_tag: text-generation --- --- language: - en --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> # Model Details ## Model Description <!-- Provide a longer summary of what this model is. -->...
[ -0.023083094507455826, -0.00890260562300682, -0.012075998820364475, 0.04416926950216293, 0.045855920761823654, 0.02905026078224182, -0.01615312322974205, -0.007039928808808327, -0.01976841315627098, 0.056692589074373245, 0.037867773324251175, -0.010050029493868351, 0.03447987884283066, 0.0...
Ayham/bert_bert_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...
4
null
--- tags: - autotrain - vision - image-classification datasets: - nicolasvillamilsanchez/autotrain-data-petrography widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg exam...
[ -0.00342836556956172, -0.012999750673770905, 0.01596101187169552, 0.046287838369607925, 0.04953749105334282, -0.0025491195265203714, -0.01732787862420082, -0.001059761387296021, -0.03862471505999565, 0.06959781795740128, -0.007778675761073828, -0.005084281321614981, 0.0030336787458509207, ...
Ayham/distilbert_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...
6
null
--- pipeline_tag: text-classification widget: - text: "Paris is the <mask> of France." example_title: "Capital" - text: "The goal of life is <mask>." example_title: "Philosophy" ---
[ -0.010777221992611885, -0.0023884058464318514, 0.002755135763436556, 0.028721153736114502, 0.05466419830918312, 0.014258510433137417, -0.018068036064505577, 0.016643449664115906, -0.023567166179418564, 0.07159999758005142, 0.014608918689191341, 0.011526601389050484, 0.008046884089708328, 0...
Ayham/xlnet_bert_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...
7
null
--- datasets: - yelp_review_full language: - en metrics: - accuracy pipeline_tag: text-classification tags: - code widget: - text: "messi is the best player of the world" - text: "Milan is the best football club" - text: "soccer is the most popular sport in the world" ---
[ -0.0020148465409874916, -0.015283373184502125, 0.03039485029876232, 0.017815636470913887, 0.027772409841418266, -0.001671151607297361, -0.018759334459900856, 0.018570171669125557, -0.03564058244228363, 0.06950117647647858, 0.04285041242837906, -0.008557007648050785, 0.011275476776063442, 0...
Ayran/DialoGPT-small-harry-potter-1-through-3
[ "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
--- pipeline_tag: text-generation widget: - text: "Hello World!" - text: "Have you ever wondered about" ---
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AyushPJ/ai-club-inductions-21-nlp-ALBERT
[ "pytorch", "albert", "question-answering", "transformers", "generated_from_trainer", "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...
8
2023-04-24T08:07:18Z
--- license: apache-2.0 language: - zh tags: - Chinese --- # Open-Chinese-LLaMA This project is a **Chinese large language model base** generated through **incremental pre-training on Chinese datasets** based on [LLaMA](https://github.com/facebookresearch/llama)-7B. ## Features * This project provides a Chinese pre...
[ -0.04457445815205574, -0.020279474556446075, 0.011127922683954239, 0.039789438247680664, 0.029246943071484566, 0.0036051750648766756, -0.014029914513230324, -0.010545152239501476, -0.004157637245953083, 0.06306469440460205, 0.014248380437493324, -0.028115155175328255, 0.03902878984808922, ...
AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad
[ "pytorch", "electra", "question-answering", "transformers", "generated_from_trainer", "autotrain_compatible" ]
question-answering
{ "architectures": [ "ElectraForQuestionAnswering" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
12
null
--- datasets: - yelp_review_full language: - en pipeline_tag: text-generation tags: - code widget: - text: "Is pizza a delicious food ?" - text: "what is the best football club in the world ?" ---
[ -0.001414678175933659, -0.02359152026474476, 0.0396248996257782, 0.02266131527721882, 0.027186738327145576, 0.0017701118486002088, -0.006176262628287077, 0.026430604979395866, -0.027166657149791718, 0.07370002567768097, 0.04890964925289154, -0.008445346727967262, -0.003193632001057267, 0.0...
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
--- datasets: - GEM/xwikis metrics: - bleu widget: - text: "I use this word because" - text: "This example has written" ---
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BOON/electra_qa
[]
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
# Model Card for PickScore v1 This model is a scoring function for images generated from text. It takes as input a prompt and a generated image and outputs a score. It can be used as a general scoring function, and for tasks such as human preference prediction, model evaluation, image ranking, and more. See our pape...
[ 0.001732666278257966, -0.024101953953504562, 0.014023329131305218, 0.04144984856247902, 0.035978324711322784, -0.007170298136770725, -0.0024698839988559484, 0.0012179603800177574, -0.018914151936769485, 0.04776610806584358, 0.051146116107702255, 0.0020298627205193043, -0.005115737207233906, ...
Bagus/SER-LSSED
[]
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 --- recreated the method in https://arxiv.org/abs/2304.11062 combined it with a t5-base due to the encoder already using relative positionsl embeddings. modified a few scripts i found deep in the gptneox history to adapt the decoder to have similar embeddings and applied the logic to the decoder as wel...
[ -0.06700213253498077, -0.008620641194283962, -0.007398779969662428, 0.00513647822663188, 0.04938090965151787, 0.046950239688158035, 0.012389752082526684, -0.0017431903397664428, -0.03328167274594307, 0.045706022530794144, 0.04457087069749832, -0.0039724488742649555, -0.009330272674560547, ...
Banshee/LukeSkywalker
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: text-classification --- widget: - text: "Jens Peter Hansen kommer fra Danmark"
[ -0.0142967589199543, -0.010677074082195759, 0.016971373930573463, 0.039636917412281036, 0.06657035648822784, 0.011951779015362263, -0.01968270353972912, 0.0018858161056414247, -0.03793675824999809, 0.06742782145738602, 0.024805722758173943, -0.01121693104505539, -0.013986865989863873, 0.04...
Banshee/dialoGPT-small-luke
[]
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
2023-04-24T09:08:57Z
--- 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...
[ -0.017749590799212456, -0.019139651209115982, -0.005121144466102123, 0.029135504737496376, 0.050890158861875534, -0.018579164519906044, -0.011021208949387074, -0.009440395049750805, -0.05889635533094406, 0.053847216069698334, -0.0017360934289172292, -0.009496654383838177, 0.02630064263939857...
BaptisteDoyen/camembert-base-xnli
[ "pytorch", "tf", "camembert", "text-classification", "fr", "dataset:xnli", "transformers", "zero-shot-classification", "xnli", "nli", "license:mit", "has_space" ]
zero-shot-classification
{ "architectures": [ "CamembertForSequenceClassification" ], "model_type": "camembert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
405,474
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...
[ -0.00797258224338293, 0.005148789379745722, -0.018506722524762154, 0.017648378387093544, 0.059201862663030624, -0.028792355209589005, 0.007076440844684839, -0.03323093056678772, -0.026035599410533905, 0.06614578515291214, 0.026323985308408737, -0.026839150115847588, -0.0012931081000715494, ...
BatuhanYilmaz/bert-finetuned-mrpc
[]
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
2023-04-24T09:18:10Z
--- language: - en license: creativeml-openrail-m thumbnail: "https://huggingface.co/Guizmus/SDArt_UnmythicalCreatures/resolve/main/showcase.jpg" tags: - stable-diffusion - text-to-image - image-to-image --- # SDArt : Un-Mythical Creatures (version based on 1.5) ![Showcase](https://huggingface.co/Guizmus/SDArt_Unmythi...
[ -0.010316738858819008, -0.013322878628969193, -0.03785593435168266, -0.011177193373441696, 0.05849257484078407, 0.02068088762462139, -0.012056117877364159, -0.023770848289132118, -0.015775950625538826, 0.05612514540553093, 0.048493996262550354, -0.002434812719002366, 0.026318226009607315, ...
BatuhanYilmaz/bert-finetuned-nerxD
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### wp_converter Dreambooth model trained by oussama120 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Col...
[ -0.024706203490495682, -0.01261491421610117, -0.029131274670362473, 0.03170033171772957, 0.028332630172371864, 0.014375019818544388, 0.004477136768400669, 0.005718647968024015, -0.013003693893551826, 0.037691593170166016, 0.04214414954185486, 0.00896506104618311, -0.028385257348418236, 0.0...
BatuhanYilmaz/code-search-net-tokenizer1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - cord-layoutlmv3 metrics: - precision - recall - f1 - accuracy model-index: - name: layoutlmv3-finetuned-cord_100 results: - task: name: Token Classification type: token-classification dataset: name: cord-layoutlmv3 t...
[ -0.010974804870784283, 0.021642081439495087, -0.017978297546505928, 0.023195456713438034, 0.052644066512584686, 0.023924320936203003, -0.035825278609991074, -0.005113014951348305, -0.029292330145835876, 0.05742372199892998, 0.05143830180168152, -0.023061884567141533, 0.008772393688559532, ...
BatuhanYilmaz/distilbert-base-uncased-finetuned-squad-d5716d28
[ "pytorch", "distilbert", "fill-mask", "en", "dataset:squad", "arxiv:1910.01108", "transformers", "question-answering", "license:apache-2.0", "autotrain_compatible" ]
question-answering
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
18
2023-04-24T09:19:42Z
--- 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). ...
[ -0.048059575259685516, 0.0025939359329640865, -0.007375066168606281, 0.05076317489147186, 0.024030445143580437, 0.031235042959451675, -0.009956139139831066, -0.02194906398653984, -0.002705965656787157, 0.05259855091571808, 0.02493252605199814, -0.01378581952303648, 0.0070292092859745026, 0...
BatuhanYilmaz/dummy
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - funsd metrics: - precision - recall - f1 - accuracy model-index: - name: layoutlmv3-finetuned-funsd results: - task: name: Token Classification type: token-classification dataset: name: funsd type: funsd config...
[ -0.010642174631357193, -0.0046580019406974316, -0.008732716552913189, 0.031056338921189308, 0.0224518533796072, 0.02170759253203869, -0.017217259854078293, -0.022203128784894943, -0.027658460661768913, 0.05258459597826004, 0.0443006195127964, -0.007637432310730219, 0.01873609982430935, 0.0...
BeIR/query-gen-msmarco-t5-large-v1
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
1,225
null
--- pipeline_tag: text-classification widget: - text: "the weather is hot" - text: "I love summer" ---
[ -0.017030637711286545, 0.007453374098986387, -0.011340566910803318, 0.03345412760972977, 0.05546160414814949, 0.02425859123468399, -0.012875736691057682, 0.02138334885239601, -0.03428271785378456, 0.07126390933990479, 0.02329183556139469, 0.009703543037176132, 0.01512148417532444, 0.050242...
Beatriz/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: - generated_from_trainer metrics: - rouge model-index: - name: T5_large6_512_128 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. --> # ...
[ -0.018934965133666992, -0.008820692077279091, 0.0011426162673160434, 0.030082883313298225, 0.040370725095272064, -0.010771882720291615, -0.030453570187091827, -0.018873952329158783, -0.030061157420277596, 0.04338947311043739, 0.01670321449637413, -0.03565138205885887, 0.004711705259978771, ...
Begimay/Task
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- pipeline_tag: text-generation widget: - text: "last year I went to Canada" - text: "the weather is hot" ---
[ -0.0024124900810420513, 0.008084679953753948, 0.0007344852201640606, 0.01905832253396511, 0.048019979149103165, 0.019764864817261696, -0.0004064010863658041, 0.019348125904798508, -0.049450524151325226, 0.06549648940563202, 0.030143210664391518, -0.008041635155677795, 0.024961812421679497, ...
Benicio/t5-small-finetuned-en-to-ro
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: t5-small-finetuned-topics-customdata2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove t...
[ -0.0011131548089906573, -0.003771113930270076, 0.012597890570759773, 0.023241879418492317, 0.041651319712400436, 0.015455445274710655, -0.019546043127775192, -0.009594833478331566, -0.029467981308698654, 0.052831389009952545, 0.02914726920425892, -0.018039021641016006, 0.01361711323261261, ...
Betaniaolivo/Foto
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- widget: - text: "I love football so much" example_title: "Positive Mostafa example 1" - text: "I don't really like this type of food" example_title: "Negative Mostafa example 2" ---
[ 0.009783398360013962, -0.0042214891873300076, 0.004251196980476379, 0.03770773485302925, 0.04315745830535889, 0.06289950013160706, -0.0005874248454347253, 0.002080519450828433, -0.03725985437631607, 0.05469122156500816, 0.019506167620420456, 0.006900268141180277, 0.03354717046022415, 0.020...
Bharathdamu/wav2vec2-model-hindi-stt
[]
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: - 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 config: split...
[ -0.009950622916221619, 0.010206986218690872, -0.02819138392806053, 0.03616185858845711, 0.06099075451493263, 0.03240473195910454, -0.02284134551882744, -0.036353666335344315, -0.03314979374408722, 0.05734804645180702, 0.0177201759070158, -0.04586981236934662, 0.034335002303123474, 0.044964...
BigSalmon/FormalRobertaa
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
5
null
--- 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 ...
[ -0.04497387632727623, -0.0010040035704150796, -0.021957742050290108, 0.032424185425043106, 0.04344501718878746, 0.017742669209837914, -0.01813330687582493, -0.030632073059678078, -0.03763618692755699, 0.06895939260721207, 0.022000765427947044, 0.003089976031333208, 0.015217749401926994, 0....
BigSalmon/FormalRobertaaa
[ "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...
12
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Afrikaans. ### Dataset Creation 1. English Instructions: The Engl...
[ -0.04415491595864296, 0.0016326472396031022, 0.0005688223754987121, 0.04735754057765007, 0.043230198323726654, 0.01722281612455845, -0.01523069478571415, 0.000004643826741812518, -0.031057855114340782, 0.06336852163076401, 0.020632967352867126, -0.060702357441186905, -0.00106098095420748, ...
BigSalmon/GPTHeHe
[ "pytorch", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Bengali. ### Dataset Creation 1. English Instructions: The Englis...
[ -0.03583389148116112, 0.002701502526178956, 0.010673324577510357, 0.05245005339384079, 0.032930467277765274, 0.015893062576651573, -0.015054376795887947, -0.00101793825160712, -0.031180473044514656, 0.058878324925899506, 0.022536950185894966, -0.058059681206941605, 0.005021935328841209, 0....
BigSalmon/GPTIntro
[]
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 --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Czech. ### Dataset Creation 1. English Instructions: The English ...
[ -0.03668811172246933, 0.006020278204232454, 0.005652459338307381, 0.0546550452709198, 0.03737790510058403, 0.008796973153948784, -0.01500758808106184, 0.009701384231448174, -0.03829449787735939, 0.06492945551872253, 0.018541259691119194, -0.05713138356804848, -0.003480351995676756, 0.02605...
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
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Spanish. ### Dataset Creation 1. English Instructions: The Englis...
[ -0.04025674983859062, 0.005562769714742899, 0.008616813458502293, 0.05333403870463371, 0.030863502994179726, 0.013133570551872253, -0.019737187772989273, 0.005764672067016363, -0.02623572200536728, 0.05789001286029816, 0.013449326157569885, -0.055326905101537704, -0.003209262154996395, 0.0...
BigSalmon/GPTNeo350MInformalToFormalLincoln3
[ "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...
10
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Estonian. ### Dataset Creation 1. English Instructions: The Engli...
[ -0.039431046694517136, 0.0071015493012964725, 0.012438359670341015, 0.04952092468738556, 0.04301293194293976, 0.012426968663930893, -0.016082320362329483, 0.0018013729713857174, -0.04490280523896217, 0.060479868203401566, 0.020165594294667244, -0.05932239443063736, 0.001353367348201573, 0....
BigSalmon/InfillFormalLincoln
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Hebrew. ### Dataset Creation 1. English Instructions: The English...
[ -0.04408599063754082, 0.006392403971403837, 0.0030007141176611185, 0.04926137998700142, 0.03015701100230217, 0.015747247263789177, -0.012633209116756916, -0.001786199165508151, -0.03260492533445358, 0.06091636046767235, 0.01632138527929783, -0.056484516710042953, 0.006747404579073191, 0.02...
BigSalmon/InformalToFormalLincoln14
[ "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...
5
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Hindi. ### Dataset Creation 1. English Instructions: The English ...
[ -0.03914957121014595, 0.003009103238582611, 0.006759372539818287, 0.050083011388778687, 0.026652192696928978, 0.019498832523822784, -0.017191464081406593, 0.004663512576371431, -0.029881272464990616, 0.06214148923754692, 0.01643957570195198, -0.0547993928194046, 0.009460335597395897, 0.022...
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: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Croatian. ### Dataset Creation 1. English Instructions: The Engli...
[ -0.03556232526898384, 0.0034994117449969053, 0.0075857690535485744, 0.0538170225918293, 0.037553805857896805, 0.008118122816085815, -0.014897488057613373, 0.0064588855020701885, -0.038147587329149246, 0.06461074203252792, 0.01900159940123558, -0.060158900916576385, -0.004369068890810013, 0...
BigSalmon/InformalToFormalLincoln22
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Khmer. ### Dataset Creation 1. English Instructions: The English ...
[ -0.04626985266804695, 0.0004577737709041685, 0.008055810816586018, 0.05299944430589676, 0.031352318823337555, 0.0071693407371640205, -0.01698167249560356, 0.004555355291813612, -0.035123251378536224, 0.05394485592842102, 0.0238109789788723, -0.06141693517565727, -0.0004564716946333647, 0.0...
BigSalmon/InformalToFormalLincoln23
[ "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...
5
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Korean. ### Dataset Creation 1. English Instructions: The English...
[ -0.043279342353343964, 0.004936811979860067, 0.004539842717349529, 0.05501329153776169, 0.0321471244096756, 0.015169666148722172, -0.013218061998486519, 0.004833592567592859, -0.034296758472919464, 0.06074552610516548, 0.020097075030207634, -0.05736900866031647, 0.0001979715598281473, 0.01...
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
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Latvian. ### Dataset Creation 1. English Instructions: The Englis...
[ -0.03819483518600464, 0.0022060899063944817, 0.009725941345095634, 0.05190635845065117, 0.04058827832341194, 0.005277631804347038, -0.01498536579310894, 0.003653268562629819, -0.046155013144016266, 0.06125825271010399, 0.02256961725652218, -0.0601234994828701, -0.0015670164721086621, 0.025...
BigSalmon/InformalToFormalLincolnDistilledGPT2
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Macedonian. ### Dataset Creation 1. English Instructions: The Eng...
[ -0.037707965821027756, 0.0031237322837114334, 0.0065145972184836864, 0.05352964252233505, 0.03529011458158493, 0.013137977570295334, -0.019647302106022835, 0.0026656894478946924, -0.04115520790219307, 0.060351379215717316, 0.021517150104045868, -0.059152185916900635, 0.0004212579515296966, ...
BigSalmon/Lincoln4
[ "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: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Malayalam. ### Dataset Creation 1. English Instructions: The Engl...
[ -0.04049130156636238, 0.012236717157065868, 0.006779366638511419, 0.04691418260335922, 0.03994496911764145, 0.016997240483760834, -0.016586504876613617, -0.0018193523865193129, -0.03344804793596268, 0.05992015451192856, 0.021392663940787315, -0.06269688904285431, 0.006236273795366287, 0.02...
BigSalmon/MrLincoln125MNeo
[ "pytorch", "tensorboard", "gpt_neo", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
12
null
--- tags: - generated_from_trainer model-index: - name: finetunedtopicscustomdata4 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. --> # finetunedtopicscustomdata4 ...
[ -0.009012234397232533, 0.003407191950827837, 0.014782240614295006, 0.028101766481995583, 0.031236205250024796, 0.030814388766884804, -0.013743195682764053, -0.01682436093688011, -0.023462241515517235, 0.040480613708496094, 0.06166194751858711, 0.007085991557687521, 0.040219660848379135, 0....
BigSalmon/MrLincoln13
[ "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
2023-04-24T10:47:51Z
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Dutch. ### Dataset Creation 1. English Instructions: The English ...
[ -0.043056052178144455, 0.006297730375081301, 0.008230648934841156, 0.04793158173561096, 0.03639356791973114, 0.013000230304896832, -0.01555979996919632, -0.002313086064532399, -0.032590992748737335, 0.06335508078336716, 0.01287843193858862, -0.05937691405415535, -0.001329420949332416, 0.02...
BigSalmon/MrLincoln2
[ "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...
9
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Pashto. ### Dataset Creation 1. English Instructions: The English...
[ -0.03446133807301521, 0.0029985534492880106, 0.00846894085407257, 0.05664929375052452, 0.03280239179730415, 0.01177159696817398, -0.01640208810567856, 0.006427709478884935, -0.03517235070466995, 0.059676989912986755, 0.01919427700340748, -0.057866428047418594, 0.00032587815076112747, 0.023...
BigSalmon/MrLincoln8
[ "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...
12
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Slovenian. ### Dataset Creation 1. English Instructions: The Engl...
[ -0.0344318188726902, 0.0037622193340212107, 0.005613958463072777, 0.0543578565120697, 0.039724163711071014, 0.011713004671037197, -0.012498144991695881, 0.01062462106347084, -0.04615410789847374, 0.06678604334592819, 0.02021334320306778, -0.05845304951071739, 0.0014234519330784678, 0.02643...
BigSalmon/PhraseBerta
[ "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...
10
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Tagalog. ### Dataset Creation 1. English Instructions: The Englis...
[ -0.038000479340553284, -0.00038132755435071886, 0.002457067370414734, 0.04424156993627548, 0.025842085480690002, 0.018797028809785843, -0.016860324889421463, 0.006018109153956175, -0.03185183182358742, 0.05953272804617882, 0.01739865355193615, -0.05395754426717758, 0.0030064804013818502, 0...
BigSalmon/Points
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Turkish. ### Dataset Creation 1. English Instructions: The Englis...
[ -0.037038180977106094, 0.009282766841351986, 0.003914047963917255, 0.05746805667877197, 0.03282501548528671, 0.0162105243653059, -0.013921370729804039, 0.0021041554864495993, -0.034279223531484604, 0.0649552270770073, 0.018194686621427536, -0.059944819658994675, -0.0005172246019355953, 0.0...
BigSalmon/Points2
[ "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...
12
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Ukrainian. ### Dataset Creation 1. English Instructions: The Engl...
[ -0.04050281643867493, 0.002650928683578968, 0.006388423964381218, 0.05522951856255531, 0.03790022060275078, 0.012886835262179375, -0.014751818962395191, 0.0016335262916982174, -0.039536796510219574, 0.06196573004126549, 0.025399591773748398, -0.05618921294808388, -0.001282553537748754, 0.0...
BigSalmon/Robertsy
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Urdu. ### Dataset Creation 1. English Instructions: The English i...
[ -0.03645036742091179, 0.004591347649693489, 0.00730501813814044, 0.054991282522678375, 0.030810633674263954, 0.01964397355914116, -0.0164381992071867, 0.00587500212714076, -0.03423226252198219, 0.062333881855010986, 0.019480722025036812, -0.054522499442100525, 0.0019421528559178114, 0.0227...
BigSalmon/Rowerta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
null
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Vietnamese. ### Dataset Creation 1. English Instructions: The Eng...
[ -0.04553907737135887, 0.00047982469550333917, 0.01083627250045538, 0.05193363502621651, 0.03058863803744316, 0.009698075242340565, -0.01574109122157097, 0.004119511228054762, -0.03158354386687279, 0.05206509679555893, 0.01974935084581375, -0.05869695544242859, 0.0009026508196257055, 0.0208...
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
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Xhosa. ### Dataset Creation 1. English Instructions: The English ...
[ -0.04626821354031563, 0.0050935763865709305, 0.005303871352225542, 0.04708048328757286, 0.03935563564300537, 0.01408218964934349, -0.01720881275832653, -0.0005663963966071606, -0.033068906515836716, 0.06093765050172806, 0.018992843106389046, -0.06121174991130829, 0.0029349501710385084, 0.0...
BigSalmon/T52
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
8
2023-04-24T10:50:05Z
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in Chinese. ### Dataset Creation 1. English Instructions: The Englis...
[ -0.048992056399583817, 0.005226389970630407, 0.005934430751949549, 0.0546555370092392, 0.03201032802462578, 0.011418883688747883, -0.015867585316300392, 0.00008258584421128035, -0.03242276981472969, 0.05590128153562546, 0.015705274417996407, -0.050747815519571304, 0.006957049481570721, 0.0...
BigSalmon/T5F
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
6
2023-04-24T10:50:15Z
--- license: mit --- This repo contains a low-rank adapter (LoRA) for LLaMA-7b fit on the [Stanford-Alpaca-52k](https://github.com/tatsu-lab/stanford_alpaca) and [databricks-dolly-15k](https://github.com/databrickslabs/dolly/tree/master/data) data in English. ### Dataset Creation 1. English Instructions: The Englis...
[ -0.04210381954908371, 0.006686257664114237, 0.007122442591935396, 0.05363081023097038, 0.03258531168103218, 0.013033335097134113, -0.017277196049690247, 0.002699268516153097, -0.031256355345249176, 0.05980173498392105, 0.01902482844889164, -0.05603126809000969, 0.0012309958692640066, 0.023...
BigSalmon/T5Salmon2
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
13
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # HasinMDG/distiluse-base-multilingual-cased-IPTC-L1 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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BigSalmon/TS3
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible", "has_space" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
7
null
#### Table of contents 1. [Introduction](#introduction) 2. [Using PhoBERT with `transformers`](#transformers) - [Installation](#install2) - [Pre-trained models](#models2) - [Example usage](#usage2) 3. [Using PhoBERT with `fairseq`](#fairseq) 4. [Notes](#vncorenlp) # <a name="introduction"></a> PhoBERT: Pre-trained...
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BigTooth/DialoGPT-Megumin
[ "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...
16
null
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: test results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 1.0 --- # test Autogenerated by HuggingPics🤗🖼️ Cr...
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BillelBenoudjit/jplu-wikiann
[ "fr", "dataset:wikiann", "model-index" ]
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
2023-04-24T11:04:29Z
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - generated model-index: - name: layoutlmv3-finetuned-generated results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remov...
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Binbin/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: 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 ...
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Biniam/en_ti_translate
[ "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...
14
null
<p>Tips for Spotting Romance Scam Bots</p> <p class="MsoNormal"><span style="font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none;">Romance scams have been a prevalent issue for years, but with the rise of tech...
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BitanBiswas/mbert-bengali-ner-finetuned-ner
[ "pytorch", "tensorboard", "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...
4
null
--- tags: - generated_from_trainer model-index: - name: finetunedtopicscustomdata5 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. --> # finetunedtopicscustomdata5 ...
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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
--- license: mit --- **PromptGPT - An NLP companion for ai Artists** PromptGPT is a prompt generation model that has been designed to aid artists to expand their ideas. The model has been fine-tuned on a vast corpus of artistic and literary works to ensure that it can provide the most relevant and contextually appropr...
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Blazeolmo/Scrabunzi
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Robot--Style Dreambooth model trained by VuDucQuang with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Col...
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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
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
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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
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
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Bman/DialoGPT-medium-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # andyP/sf-it-aug-01 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 tech...
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BonjinKim/dst_kor_bert
[ "pytorch", "jax", "bert", "pretraining", "transformers" ]
null
{ "architectures": [ "BertForPreTraining" ], "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_s...
5
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - sroie model-index: - name: layoutlmv3-finetuned-sroie 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...
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Boondong/Wandee
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
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BossLee/t5-gec
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
6
null
--- license: apache-2.0 tags: - classification - generated_from_trainer datasets: - tweet_sentiment_multilingual metrics: - accuracy model-index: - name: clasificador-tweet-sentiment results: - task: name: Text Classification type: text-classification dataset: name: tweet_sentiment_multilingua...
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Botslity/Bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer model-index: - name: gptneo-txt2ARXMLv1.1 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. --> # gptneo-txt2ARXMLv1.1 ...
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BotterHax/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...
8
null
--- license: creativeml-openrail-m --- ✅ Use of this model for commercial image generation services  ✅ Commercial use of images generated by this model  ✅ Use or redistribution of merged models using this model  ❌ The act of selling this model or a model merged with this model  ❌ Intentionally using this model to ...
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Brayan/CNN_Brain_Tumor
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-24T11:44:25Z
--- 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...
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Brendan/cse244b-hw2-roberta
[ "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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, t...
[ -0.01794367842376232, 0.018723826855421066, -0.027248820289969444, 0.03541400656104088, 0.055157195776700974, 0.025100156664848328, -0.020823024213314056, -0.029689520597457886, -0.03732449188828468, 0.05637570843100548, 0.01871197298169136, -0.05169783532619476, 0.03348398953676224, 0.040...
BrianTin/MTBERT
[ "pytorch", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- tags: - 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...
[ -0.018169887363910675, -0.017234493046998978, -0.006003622896969318, 0.02926827222108841, 0.052069567143917084, -0.018627570942044258, -0.010586723685264587, -0.007931316271424294, -0.05979538336396217, 0.05352148786187172, -0.001774464501067996, -0.009344623424112797, 0.025166423991322517, ...
Brinah/1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: mt5-base-finetuned-xsum 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. --> # mt5-base-fi...
[ -0.027390819042921066, -0.015317869372665882, 0.0032313934061676264, 0.030597859993577003, 0.02229353040456772, 0.025181148201227188, -0.02539180777966976, -0.01543734222650528, -0.03259899839758873, 0.039942316710948944, 0.05083955451846123, -0.01930728740990162, 0.005695370025932789, 0.0...
BritishLibraryLabs/bl-books-genre
[ "pytorch", "distilbert", "text-classification", "multilingual", "dataset:blbooksgenre", "transformers", "genre", "books", "library", "historic", "glam ", "lam", "license:mit", "has_space" ]
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, ...
76
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/- 2.72...
[ -0.019193243235349655, -0.017552409321069717, -0.005623573437333107, 0.025900963693857193, 0.047567520290613174, -0.002647648798301816, -0.018071182072162628, 0.006573631428182125, -0.037299055606126785, 0.05247184634208679, 0.01836768165230751, -0.00641649030148983, 0.013800173997879028, ...
Broadus20/DialoGPT-small-harrypotter
[ "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...
9
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.019653333351016045, -0.015393165871500969, -0.007321853190660477, 0.02561761625111103, 0.04840478301048279, -0.0014691799879074097, -0.01832527667284012, 0.007477200590074062, -0.0380198210477829, 0.05176079645752907, 0.017298711463809013, -0.007527991198003292, 0.011147107928991318, 0....
Brunomezenga/NN
[]
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: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # Chillout Ni AF API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/12166348461682337345.png) ## Get A...
[ -0.034529607743024826, -0.03814493492245674, -0.004940543789416552, 0.012118999846279621, 0.04144233837723732, 0.025808967649936676, -0.018715977668762207, 0.003688414581120014, -0.016062477603554726, 0.05181475356221199, 0.03495148569345474, 0.003741220338270068, 0.030037421733140945, 0.0...
Bryanwong/wangchanberta-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: apache-2.0 tags: - generated_from_trainer model-index: - name: torgo_healthy_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. --> # torgo_healthy_2 Th...
[ -0.015534373931586742, -0.028205418959259987, -0.017806824296712875, 0.03220442309975624, 0.028881875798106194, 0.006803902797400951, -0.013854024931788445, 0.002972935326397419, -0.02145260013639927, 0.05693383142352104, 0.05178932100534439, -0.0022996068000793457, 0.03108052723109722, 0....
Brykee/BrykeeBot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: distilbert-ft-test2 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. --> # distilbert-ft-...
[ -0.023516159504652023, -0.01853952184319496, -0.02981223724782467, 0.03337820619344711, 0.03862375766038895, 0.03814608231186867, -0.01253692340105772, -0.028078438714146614, -0.043583109974861145, 0.057583704590797424, 0.02618231438100338, -0.013543515466153622, 0.015172438696026802, 0.04...
Brykee/DialoGPT-medium-Morty
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # b...
[ -0.026911677792668343, -0.008838065899908543, -0.021535227075219154, 0.03784560039639473, 0.03787790611386299, 0.02028748020529747, -0.028780868276953697, -0.002382077742367983, -0.031094666570425034, 0.038012970238924026, 0.024638814851641655, -0.020356442779302597, 0.02029494382441044, 0...
Buntan/bert-finetuned-ner
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "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: mit tags: - generated_from_trainer datasets: - imagefolder model-index: - name: Donut-for-Invoices 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. --> #...
[ -0.03030586615204811, -0.016529522836208344, -0.0013071252033114433, 0.04013355076313019, 0.029011709615588188, 0.009703359566628933, 0.01084174681454897, -0.002884713700041175, -0.013956138864159584, 0.03853340446949005, 0.06989523768424988, -0.02166157029569149, 0.017048021778464317, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
63
null
This is an adapter for the Dolly-6B model that has been fine-tuned on Coq code from the CoqGym dataset.
[ -0.07720451802015305, 0.0036118493881076574, 0.03574836999177933, 0.007994788698852062, 0.05889000743627548, -0.02803194150328636, -0.04220253601670265, 0.004486228805035353, -0.023199476301670074, 0.009378698654472828, 0.0177124235779047, -0.01680869609117508, 0.02114454098045826, 0.01217...
CAMeL-Lab/bert-base-arabic-camelbert-mix-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...
1,860
null
--- license: bigscience-bloom-rail-1.0 datasets: - tatoeba - Abirate/french_book_reviews language: - fr library_name: transformers pipeline_tag: text-generation --- [Bloom](https://huggingface.co/bigscience/bloom) model trained on French corpus. # Config * vocab_size=10000 * hidden_size=hidden_size * n_head=8 * n_lay...
[ -0.009030304849147797, -0.012624542228877544, 0.0058333659544587135, 0.03053896129131317, 0.0332597941160202, 0.006212890613824129, -0.02156008780002594, -0.006561621092259884, -0.0462007150053978, 0.05402127653360367, 0.023080162703990936, 0.014045478776097298, -0.009204883128404617, 0.03...
dccuchile/albert-xlarge-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
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...
[ -0.01644297130405903, -0.017428448423743248, -0.0065760621801018715, 0.03098888136446476, 0.05156372860074043, -0.01770520582795143, -0.011544900946319103, -0.00977399293333292, -0.05717501416802406, 0.05499471724033356, -0.0011448111617937684, -0.009351267479360104, 0.02556735649704933, 0...
CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate-1
[ "pytorch", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
1
null
--- license: mit pipeline_tag: text-classification --- ## Roberta for Justification analyst This model is a fine-tuned version of the Roberta architecture that has been trained specifically for sequence classification. The fine-tuning process involved using the PyTorch deep learning framework and specific hyperparame...
[ -0.02743171714246273, -0.0005247172666713595, -0.017031535506248474, 0.05429304391145706, 0.04991059750318527, 0.016135821118950844, -0.017561739310622215, -0.007829167880117893, -0.016673225909471512, 0.046359509229660034, 0.03009694628417492, 0.0036433693021535873, 0.010069507174193859, ...
CharlieChen/feedback-bigbird
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.020093994215130806, -0.01532261073589325, -0.00794780720025301, 0.025755172595381737, 0.04596104100346565, 0.0004628541646525264, -0.020691053941845894, 0.007373403292149305, -0.03813983127474785, 0.05615415796637535, 0.019416114315390587, -0.004424729850143194, 0.012843127362430096, 0....
ChaseBread/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...
9
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: torgo_healthy_2_40 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. --> # torgo_healthy_2_...
[ -0.019422635436058044, -0.021369023248553276, -0.020801955834031105, 0.03364246338605881, 0.028496665880084038, 0.009216957725584507, -0.014691466465592384, 0.0026379325427114964, -0.020716411992907524, 0.054400984197854996, 0.053887248039245605, -0.006401014979928732, 0.030731191858649254, ...
Cheatham/xlm-roberta-base-finetuned
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - beans metrics: - accuracy model-index: - name: platzi-vit-model-julio-garcia results: - task: name: Image Classification type: image-classification dataset: name: beans type: beans config: default split: valid...
[ -0.011113659478724003, 0.0034604850225150585, 0.008222905918955803, 0.026878228411078453, 0.045389506965875626, -0.0069417026825249195, 0.01438452024012804, -0.010524333454668522, -0.010311308316886425, 0.04417897388339043, 0.014901885762810707, -0.021633850410580635, -0.007300928700715303, ...
Cheatham/xlm-roberta-large-finetuned-d1
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
null
Access to model rajeeva703/autotrain-news_trans_01-52106122897 is restricted and you are not in the authorized list. Visit https://huggingface.co/rajeeva703/autotrain-news_trans_01-52106122897 to ask for access.
[ -0.05277280509471893, 0.010095350444316864, -0.009502513334155083, 0.01805218681693077, 0.06054968386888504, 0.028900954872369766, 0.004697585012763739, 0.007370959967374802, -0.05075431987643242, 0.04936407878994942, 0.03147293999791145, -0.008665240369737148, 0.0021600606851279736, 0.033...
Cheatham/xlm-roberta-large-finetuned-d12
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
2023-04-24T15:59:18Z
--- license: creativeml-openrail-m tags: - stablediffusionapi.com - stable-diffusion-api - text-to-image - ultra-realistic pinned: true --- # Rev Anim API Inference ![generated from stablediffusionapi.com](https://pub-8b49af329fae499aa563997f5d4068a4.r2.dev/generations/5603613411682351252.png) ## Get API Key ...
[ -0.01797739788889885, -0.03299637511372566, -0.016745472326874733, 0.012888288125395775, 0.050165846943855286, 0.01564718224108219, -0.02231711335480213, -0.006985084619373083, -0.009131897240877151, 0.057082876563072205, 0.029511358588933945, -0.004490979481488466, 0.018373094499111176, 0...