modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
card
stringlengths
51
438k
embedding
list
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
--- tags: - generated_from_trainer model-index: - name: pegasus-pubmed_radiology-ai-cardiothoracic-0.8 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. --> # pegasus-...
[ -0.03644590452313423, -0.017879480496048927, 0.003192336531355977, 0.034370917826890945, 0.03408157080411911, 0.00898368563503027, -0.008002402260899544, -0.024691052734851837, -0.02606588788330555, 0.04957855865359306, 0.010891859419643879, -0.003074409207329154, -0.0001180854596896097, 0...
Azuris/DialoGPT-medium-envy
[ "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
2023-01-20T03:05:40Z
--- tags: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain 🤗" datasets: - Awesome7749/autotrain-data-patent-101 co2_eq_emissions: emissions: 1.761467513119125 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 2952885911 - CO2 Emissions (in grams...
[ -0.02542008087038994, -0.030169280245900154, -0.0010350627126172185, 0.03597836568951607, 0.02755691297352314, 0.030824169516563416, -0.02991941198706627, -0.011681320145726204, -0.03186418116092682, 0.07744593173265457, 0.021215105429291725, 0.02796151116490364, -0.005530628375709057, 0.0...
Azuris/DialoGPT-small-envy
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
2023-01-20T03:09:28Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: rlcourse-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type:...
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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
2023-01-20T03:09:50Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
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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
2023-01-20T03:20:47Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
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BOON/electra-xlnet
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-20T03:23:21Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: rlcourse-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.46 +...
[ -0.01837543584406376, -0.01603212207555771, -0.01083671860396862, 0.02566959522664547, 0.04959987476468086, -0.0018048122292384505, -0.019272580742836, 0.005340633448213339, -0.04307203367352486, 0.054259222000837326, 0.014871290884912014, -0.005159962456673384, 0.011623860336840153, 0.024...
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
2023-01-20T03:23:32Z
--- 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...
[ -0.017697151750326157, -0.01920175924897194, -0.0060301427729427814, 0.027776801958680153, 0.05012841522693634, -0.016521433368325233, -0.011819107457995415, -0.007848129607737064, -0.05798053741455078, 0.05373797193169594, -0.004128958564251661, -0.008928737603127956, 0.02509455382823944, ...
Barbarameerr/Barbara
[]
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 ...
[ -0.03823976218700409, -0.0027501408476382494, -0.004865911323577166, 0.025862079113721848, 0.045132122933864594, -0.02229032665491104, -0.005381893366575241, -0.028989270329475403, -0.033594343811273575, 0.0662677213549614, 0.03227386623620987, -0.023918593302369118, 0.022370584309101105, ...
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: unknown language: - de library_name: flair ---
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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
--- language: - el license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Tiny Greek results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: mo...
[ -0.04257882013916969, -0.008422966115176678, -0.0008892009500414133, 0.04406432434916496, 0.03639419376850128, 0.014774982817471027, -0.0032288639340549707, -0.00028114509768784046, -0.020974386483430862, 0.0722905844449997, 0.026608064770698547, -0.043836306780576706, 0.012889353558421135, ...
BigSalmon/Neo
[ "pytorch", "gpt_neo", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPTNeoForCausalLM" ], "model_type": "gpt_neo", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram...
13
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### 1cryenginebeta Dreambooth model trained by abbiepam 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...
[ -0.019764317199587822, -0.0291540939360857, -0.032049085944890976, 0.044587235897779465, 0.03838231414556503, 0.009024715051054955, 0.00862839724868536, -0.013258269056677818, -0.016669316217303276, 0.043324071913957596, 0.033932194113731384, -0.0009641419746913016, -0.017646655440330505, ...
BigSalmon/prepositions
[ "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...
7
null
--- tags: - generated_from_trainer model-index: - name: small-mlm-tweet_eval-from-scratch-custom-tokenizer 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. --> # smal...
[ -0.03306771069765091, -0.01923893578350544, -0.005506766028702259, 0.03169769048690796, 0.04867585748434067, 0.015359248965978622, -0.024475635960698128, -0.011144396848976612, -0.04273577407002449, 0.0531979575753212, 0.031220901757478714, -0.02380608767271042, -0.004255630541592836, 0.03...
BigTooth/DialoGPT-small-tohru
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
2023-01-20T12:08:19Z
--- library_name: skrl tags: - deep-reinforcement-learning - reinforcement-learning - skrl model-index: - name: PPO results: - metrics: - type: mean_reward value: 11336.27 +/- 182.79 name: Total reward (mean) task: type: reinforcement-learning name: reinforcement-learning dataset...
[ -0.042968280613422394, -0.0033162764739245176, -0.01645081304013729, 0.027622809633612633, 0.050173815339803696, 0.0020897958893328905, -0.0162794329226017, -0.029215339571237564, -0.02382008172571659, 0.07653894275426865, 0.02126571722328663, -0.002567580435425043, 0.004487436730414629, 0...
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
null
--- license: artistic-2.0 datasets: - fka/awesome-chatgpt-prompts language: - en metrics: - accuracy library_name: adapter-transformers pipeline_tag: text-classification tags: - code --- DVA-C01 PDFs, which stand for AWS Certified Developer - Associate Exam DVA-C01, can be reliable for exam preparation for a few reason...
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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
--- tags: - generated_from_trainer model-index: - name: tiny-mlm-rotten_tomatoes-from-scratch 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. --> # tiny-mlm-rotten_t...
[ -0.019850855693221092, 0.0006910533993504941, 0.0006644476670771837, 0.026372291147708893, 0.037922486662864685, 0.00022050006373319775, -0.018550045788288116, -0.01002417504787445, -0.035180363804101944, 0.06120574101805687, 0.01928585208952427, -0.025879302993416786, -0.005767027847468853,...
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
null
--- tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-conll2003-from-scratch-custom-tokenizer-target-rotten_tomatoes results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and comp...
[ -0.011214492842555046, 0.003241990925744176, -0.005154926795512438, 0.023562652990221977, 0.03897932544350624, 0.0008436784264631569, -0.025806602090597153, -0.01949966326355934, -0.025131558999419212, 0.07011996954679489, 0.02510301023721695, -0.017654018476605415, -0.004596566781401634, ...
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
--- language: - ru license: apache-2.0 --- # FRED-T5 1.7B (Full-scale Russian Enhanced Denoisers T5) Model was trained by [SberDevices](https://sberdevices.ru/). Architecture based on T5. It has 24 layers and 1536 hidden size. More details in config.json. The model trained on a mixture of 7 denoisers like UL2 ...
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BobBraico/bert-finetuned-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: tiny-mlm-wikitext-from-scratch-custom-tokenizer-target-conll2003 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proo...
[ -0.0053455582819879055, -0.013656280003488064, -0.012705197557806969, 0.02492709644138813, 0.023468459025025368, 0.00920269638299942, -0.015188638120889664, -0.02878177911043167, -0.029639052227139473, 0.0762687474489212, 0.029175303876399994, -0.01844206638634205, 0.009475341066718102, 0....
BobBraico/distilbert-base-uncased-finetuned-imdb
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-20T13:02:54Z
--- 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...
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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
2023-01-20T13:05:24Z
--- 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 ...
[ -0.020861558616161346, -0.015266471542418003, -0.007913192734122276, 0.025509675964713097, 0.047122854739427567, -0.0008506751037202775, -0.01886160857975483, 0.006429845932871103, -0.03666940703988075, 0.05344915762543678, 0.01876380853354931, -0.006596003659069538, 0.012596393004059792, ...
Bosio/full-sentence-distillroberta3-finetuned-wikitext2
[]
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: - 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...
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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
--- license: other tags: - generated_from_keras_callback model-index: - name: MariaK/mit-b0-finetuned-sidewalks 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. --> # Maria...
[ -0.049714598804712296, -0.013798962347209454, -0.014465232379734516, 0.0075091952458024025, 0.01810627430677414, 0.012088616378605366, 0.01982697658240795, 0.015835881233215332, -0.06311628967523575, 0.053573355078697205, 0.016592051833868027, -0.025184782221913338, 0.03304644301533699, 0....
Brona/poc_de
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-20T13:38:31Z
--- tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: tiny-mlm-tweet_eval-from-scratch-custom-tokenizer-target-conll2003 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably pr...
[ -0.017660751938819885, -0.009515374898910522, -0.010227049700915813, 0.02349308505654335, 0.0472906120121479, 0.018156839534640312, -0.026608042418956757, -0.021273400634527206, -0.03613995760679245, 0.057570572942495346, 0.03360256925225258, -0.026728186756372452, -0.0018450930947437882, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
45
null
--- tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: small-mlm-wikitext-from-scratch-custom-tokenizer-target-conll2003 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably pro...
[ -0.005240951664745808, -0.015316620469093323, -0.01513099018484354, 0.022479496896266937, 0.024711117148399353, 0.01248448807746172, -0.014300950802862644, -0.027533870190382004, -0.03144243359565735, 0.0767265036702156, 0.03241307660937309, -0.017405880615115166, 0.007275264710187912, 0.0...
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
--- tags: - generated_from_trainer model-index: - name: small-mlm-snli-from-scratch 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. --> # small-mlm-snli-from-scratch...
[ -0.03691205382347107, -0.006007986143231392, -0.005678119603544474, 0.03642962872982025, 0.03386993706226349, 0.012947904877364635, -0.01753893867135048, -0.01426082942634821, -0.049946095794439316, 0.06726905703544617, 0.02427835576236248, -0.03212058171629906, 0.007045251317322254, 0.027...
CAMeL-Lab/bert-base-arabic-camelbert-mix-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...
31
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 ...
[ -0.04549875855445862, -0.0012910673394799232, -0.021730046719312668, 0.03254016488790512, 0.04317575693130493, 0.017785362899303436, -0.01790916733443737, -0.03033621795475483, -0.037938445806503296, 0.06929874420166016, 0.022405056282877922, 0.0036974838003516197, 0.014514285139739513, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
62
2023-01-20T14:26:57Z
--- tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: small-mlm-wikitext-from-scratch-custom-tokenizer-target-rotten_tomatoes results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and comp...
[ -0.0005839340155944228, -0.01087967399507761, -0.004242125898599625, 0.019563894718885422, 0.03263064846396446, 0.009164804592728615, -0.015510236844420433, -0.020969096571207047, -0.028424860909581184, 0.0705723911523819, 0.025449587032198906, -0.011920149438083172, -0.00038153259083628654,...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
132
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 ...
[ -0.037788037210702896, -0.002878826344385743, -0.005269485060125589, 0.025832945480942726, 0.04553455859422684, -0.02136290818452835, -0.005155058111995459, -0.027609219774603844, -0.03369847312569618, 0.06634046137332916, 0.03214801475405693, -0.023408686742186546, 0.02292669750750065, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
855
null
--- tags: - autotrain - text-classification language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - tkurtulus/autotrain-data-rottentomato co2_eq_emissions: emissions: 0.7137118018641835 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 2981285985 - CO2 Emissions (i...
[ -0.008494710549712181, -0.024907683953642845, -0.008992725051939487, 0.03095553256571293, 0.035970158874988556, 0.03279019519686699, -0.04052077606320381, -0.019191047176718712, -0.039690740406513214, 0.08620351552963257, 0.018949663266539574, 0.009038706310093403, -0.0047104498371481895, ...
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
--- 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 ...
[ -0.0373975969851017, -0.002600034698843956, -0.004838757682591677, 0.025309713557362556, 0.045419637113809586, -0.02154504507780075, -0.005473990458995104, -0.027018284425139427, -0.0332365557551384, 0.0667015016078949, 0.03208283707499504, -0.023371700197458267, 0.022765351459383965, 0.00...
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: - generated_from_keras_callback model-index: - name: juro95/xlm-roberta-finetuned-ner-5-without-skills 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...
[ -0.02998550608754158, -0.007507470902055502, 0.014462045393884182, 0.0028426472563296556, 0.031061120331287384, 0.014341211877763271, -0.043147921562194824, -0.024574674665927887, -0.027576318010687828, 0.04799627885222435, 0.025474054738879204, -0.04908565431833267, 0.01478707604110241, 0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
133
2023-01-20T15:00:07Z
--- language: - el license: apache-2.0 tags: - whisper-event - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper Tiny Greek results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: mo...
[ -0.04275275766849518, -0.010566866025328636, -0.003325155470520258, 0.044144198298454285, 0.03706727921962738, 0.01621696539223194, -0.0033940300345420837, 0.0002298493927810341, -0.019212674349546432, 0.0718555673956871, 0.02884984202682972, -0.04375835135579109, 0.012000315822660923, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
574
2023-01-20T15:01:53Z
--- tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: small-mlm-snli-from-scratch-custom-tokenizer-target-rotten_tomatoes results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete...
[ -0.01006325427442789, 0.0015379729447886348, -0.00018287697457708418, 0.021609611809253693, 0.03995317220687866, 0.0059885005466639996, -0.01943257823586464, -0.015225182287395, -0.031403329223394394, 0.0691312775015831, 0.02277185767889023, -0.017742877826094627, -0.002776296576485038, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2,967
2023-01-20T15:07:14Z
--- 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...
[ -0.049591872841119766, -0.016234256327152252, -0.00872868113219738, 0.03652399778366089, 0.04134422913193703, 0.0029851123690605164, -0.021279973909258842, -0.010347628965973854, -0.038162961602211, 0.05698484182357788, 0.024178240448236465, -0.0030025423038750887, 0.031975239515304565, 0....
CBreit00/DialoGPT_small_Rick
[]
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: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - wildcard widget: - text: a photo of wucaicai celeb tokyo walk --- # DreamBooth model for the wucaicai concept trained by rootkan. This is a Stable Diffusion model fine-tu...
[ -0.03155060112476349, -0.033694591373205185, 0.0016731622163206339, 0.02640698105096817, 0.008108085952699184, 0.01909537799656391, -0.010039187967777252, 0.006704322528094053, -0.013002430088818073, 0.05023430287837982, 0.026092177256941795, 0.013925568200647831, -0.007626872044056654, 0....
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: 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: train ...
[ -0.026058118790388107, -0.0032153239008039236, 0.006586355157196522, 0.019598715007305145, 0.02867300994694233, 0.02619035914540291, -0.02432839386165142, -0.011230822652578354, -0.023699644953012466, 0.05015382915735245, 0.021521132439374924, -0.04274734854698181, 0.009252239018678665, 0....
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
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.039170730859041214, -0.01702754758298397, -0.01595727726817131, 0.03499683365225792, 0.04742216318845749, -0.0060275886207818985, -0.013680425472557545, -0.02469158172607422, -0.03008069470524788, 0.05648922547698021, 0.0227507371455431, -0.032182659953832626, 0.02019663155078888, 0.012...
CLTL/MedRoBERTa.nl
[ "pytorch", "roberta", "fill-mask", "nl", "transformers", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
2,988
null
--- license: mit library_name: sklearn tags: - sklearn - skops - tabular-regression model_file: model.pkl widget: structuredData: Fedu: - 3 - 3 - 3 Fjob: - other - other - services G1: - 12 - 13 - 8 G2: - 13 - 14 - 7 G3: - 12 - 14 - 0 ...
[ 0.008082814514636993, -0.02038196288049221, 0.011063347570598125, 0.02256743051111698, 0.027722515165805817, 0.013825280591845512, -0.02070430852472782, 0.00825619138777256, -0.058876778930425644, 0.08486934751272202, 0.03301882743835449, -0.03156345710158348, 0.023105429485440254, 0.02299...
CLTL/gm-ner-xlmrbase
[ "pytorch", "tf", "xlm-roberta", "token-classification", "nl", "transformers", "dighum", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "XLMRobertaForTokenClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
2
2023-01-20T15:35:57Z
--- 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 ...
[ -0.04081590101122856, 0.015543797053396702, 0.015052915550768375, 0.01720443181693554, 0.050003960728645325, -0.014133558608591557, -0.019140932708978653, -0.02524487115442753, -0.017314279451966286, 0.06837823241949081, 0.03759551793336868, -0.008296700194478035, 0.012634732760488987, -0....
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
2023-01-20T15:38:59Z
--- 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...
[ -0.018011441454291344, -0.01852036826312542, -0.007184247486293316, 0.03084755875170231, 0.05129096284508705, -0.01794022135436535, -0.010926504619419575, -0.009311933070421219, -0.05904216319322586, 0.054491620510816574, -0.0017276647267863154, -0.009266887791454792, 0.024811871349811554, ...
CLTL/icf-levels-ber
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
33
2023-01-20T15:47:27Z
--- 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...
[ -0.050156932324171066, -0.016514187678694725, -0.00883473176509142, 0.03609013929963112, 0.041234903037548065, 0.003542768070474267, -0.021078750491142273, -0.010663928464055061, -0.03752301633358002, 0.05665957182645798, 0.02505982294678688, -0.003077893517911434, 0.03161877021193504, 0.0...
CLTL/icf-levels-enr
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
30
null
--- 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...
[ -0.04978817328810692, -0.016202883794903755, -0.008800659328699112, 0.03655170276761055, 0.04111507162451744, 0.002835329854860902, -0.021227549761533737, -0.010387302376329899, -0.03809184208512306, 0.05689990520477295, 0.024139564484357834, -0.0031041172333061695, 0.03198184818029404, 0....
CLTL/icf-levels-ins
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
32
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.042172834277153015, -0.0014391461154446006, -0.008268405683338642, 0.04929453879594803, 0.028912967070937157, 0.02225217968225479, -0.02577952854335308, -0.03655010089278221, -0.005846899468451738, 0.0492277517914772, 0.01853286474943161, -0.008642791770398617, 0.020463375374674797, 0.0...
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
--- tags: - generated_from_trainer model-index: - name: gpt2-arxiv 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. --> # gpt2-arxiv A [gpt2](https://huggingface.co/...
[ -0.02315213717520237, -0.02194412611424923, -0.011978254653513432, 0.04675191268324852, 0.06655052304267883, 0.022880513221025467, 0.01426268182694912, -0.016614217311143875, -0.05069815739989281, 0.029462452977895737, 0.034087151288986206, -0.0025486117228865623, 0.027528995648026466, 0.0...
CM-CA/DialoGPT-small-cartman
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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...
[ -0.01676020585000515, -0.018766092136502266, -0.007367301266640425, 0.030644282698631287, 0.05079866200685501, -0.01695147715508938, -0.011193576268851757, -0.009262082166969776, -0.05864432826638222, 0.053811535239219666, -0.0018964494811370969, -0.008801613003015518, 0.02628028765320778, ...
CNT-UPenn/RoBERTa_for_seizureFrequency_QA
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- 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: 7.48 +/- 2.69...
[ -0.02003195509314537, -0.015697486698627472, -0.007445490453392267, 0.02673923969268799, 0.04628678411245346, -0.000633552554063499, -0.019261667504906654, 0.005190346390008926, -0.03870653733611107, 0.05357403680682182, 0.01819521375000477, -0.006823462434113026, 0.01156547199934721, 0.02...
CSResearcher/TestModel
[ "license:mit" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.019971666857600212, -0.020370515063405037, -0.00871980283409357, 0.028960466384887695, 0.05231264606118202, -0.01757316291332245, -0.010552709922194481, -0.0081992968916893, -0.05555783584713936, 0.05434468761086464, -0.0037255899515002966, -0.008664737455546856, 0.025944583117961884, 0...
CSZay/bart
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit widget: - text: කවියා නුමුහු කළ නුවණ - text: පිරිසිදු පානීය ජලය language: - si pipeline_tag: text-generation --- ### Fine tuned GPT Neo 125M This model is fine tuned with a [Sinhala data set](https://github.com/TharukaCkasthuri/plagiarism_detection_dataset_sinhala) for Sinhala text generation. ### ...
[ -0.011709177866578102, -0.019140494987368584, 0.0057632955722510815, 0.034240029752254486, 0.05504479631781578, 0.04580225422978401, 0.017800895497202873, -0.00919251050800085, -0.0330657958984375, 0.07529116421937943, 0.032227132469415665, -0.02698010765016079, 0.004864455666393042, 0.030...
CTBC/ATS
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-20T16:17:50Z
--- 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 ...
[ -0.01843014359474182, -0.016853109002113342, -0.008591776713728905, 0.026397474110126495, 0.045972127467393875, 0.001102806068956852, -0.019237427040934563, 0.006620542146265507, -0.03620197996497154, 0.05460917204618454, 0.018269279971718788, -0.006541715934872627, 0.014564787037670612, 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
2023-01-20T16:18:30Z
--- 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 ...
[ -0.03721150383353233, -0.002906352048739791, -0.0050072455778717995, 0.025862116366624832, 0.04603578895330429, -0.0212355125695467, -0.005335942842066288, -0.02836230956017971, -0.03297917917370796, 0.06656502932310104, 0.03241972252726555, -0.023647867143154144, 0.02323983423411846, 0.00...
Caddy/UD
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
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: train ...
[ -0.025612909346818924, -0.0030960284639149904, 0.0061338976956903934, 0.0198439322412014, 0.029120685532689095, 0.025998735800385475, -0.024509115144610405, -0.011585518717765808, -0.024310359731316566, 0.05105657875537872, 0.02149731107056141, -0.04279415309429169, 0.009238330647349358, 0...
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
2023-01-20T16:21:20Z
--- license: mit tags: - generated_from_keras_callback model-index: - name: Ashraf-kasem/gpt2_fine_tune_uncleaned_ds 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. --> # ...
[ -0.012520569376647472, -0.014850038103759289, 0.0023646189365535975, 0.016450857743620872, 0.02748984284698963, 0.004218104295432568, -0.016288472339510918, 0.002883845241740346, -0.042746651917696, 0.05839778482913971, 0.013468760065734386, -0.017746642231941223, 0.02284446358680725, 0.04...
Callidior/bert2bert-base-arxiv-titlegen
[ "pytorch", "safetensors", "encoder-decoder", "text2text-generation", "en", "dataset:arxiv_dataset", "transformers", "summarization", "license:apache-2.0", "autotrain_compatible", "has_space" ]
summarization
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
145
2023-01-20T16:23:47Z
--- 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...
[ -0.021762432530522346, -0.01753666251897812, -0.00873351190239191, 0.024334844201803207, 0.048458755016326904, -0.002179675968363881, -0.017405837774276733, 0.00710218446329236, -0.035045020282268524, 0.05224768444895744, 0.013524322770535946, -0.006243061274290085, 0.013286732137203217, 0...
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
--- 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 ...
[ -0.04532881826162338, -0.0013397082220762968, -0.02229641005396843, 0.032035183161497116, 0.0435684472322464, 0.0179719440639019, -0.01872558332979679, -0.030168570578098297, -0.03757907450199127, 0.06912778317928314, 0.021922195330262184, 0.00324790901504457, 0.014677749946713448, 0.02791...
Cameron/BERT-Jigsaw
[ "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...
35
null
--- language: - en tags: - stable-diffusion - text-to-image - image-to-image - diffusers license: creativeml-openrail-m inference: true ---
[ -0.0000061288201322895475, -0.025387324392795563, -0.013226838782429695, 0.023566776886582375, 0.0467364676296711, 0.003423139452934265, 0.003035344649106264, -0.0021617908496409655, -0.021746903657913208, 0.04297684505581856, 0.013556488789618015, -0.0032740277238190174, 0.01011141669005155...
Cameron/BERT-SBIC-offensive
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
2023-01-20T16:30:59Z
--- license: other --- <style> code { white-space : pre-wrap !important; word-break: break-word; } </style> # モデル説明 (model explanation) - CoolJapanDiffusion 2.1.1 + 0.8(YaguruMagiku-v3.1-AnyBased - HassanBlend1.5) + 0.8(AbyssOrangeMix2_sfw - HassanBlend1.5) - **マージ元の一部のルーツにNAIリークやInsta系モデルが含まれるという噂があるので、NA...
[ -0.029714150354266167, -0.035699766129255295, 0.003319254145026207, 0.042274728417396545, 0.02533780038356781, 0.007508705835789442, 0.011507023125886917, -0.006305367220193148, -0.02713550440967083, 0.06144380196928978, 0.021710749715566635, -0.006905277259647846, 0.006380133796483278, 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
2023-01-20T16:37:03Z
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - landscape widget: - text: high quality photo of Venice in fgreeneruins ruins --- # DreamBooth model for the fgreeneruins concept trained on the CCMat/db-forest-ruins datas...
[ -0.01421061810106039, -0.03417245298624039, -0.019589506089687347, 0.02342594787478447, 0.03364569693803787, 0.0033910307101905346, 0.0044970279559493065, 0.013600172474980354, -0.021747197955846786, 0.05528542399406433, 0.020623711869120598, 0.00807428639382124, -0.040705833584070206, 0.0...
Cameron/BERT-jigsaw-identityhate
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
37
null
--- datasets: - amazon_reviews_multi language: - en metrics: - rouge pipeline_tag: summarization --- # Model Card for Model ID Model that trained to summarize product reviews.
[ -0.02940608374774456, 0.00247542979195714, 0.024108370766043663, 0.00795260164886713, 0.04963422194123268, 0.02234004996716976, -0.02514464780688286, 0.004400845617055893, -0.04184940084815025, 0.062419343739748, 0.06869634985923767, -0.004144654143601656, -0.007056394126266241, 0.02681149...
Cameron/BERT-jigsaw-severetoxic
[ "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
2023-01-20T16:38:47Z
--- 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 ...
[ -0.046066999435424805, -0.0013032056158408523, -0.022278238087892532, 0.03214048221707344, 0.04340929910540581, 0.017980661243200302, -0.018336014822125435, -0.030644001439213753, -0.037067167460918427, 0.06929002702236176, 0.0221096258610487, 0.003175282385200262, 0.015112374909222126, 0....
Cameron/BERT-mdgender-convai-binary
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
33
2023-01-20T16:40:52Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
Cameron/BERT-mdgender-convai-ternary
[ "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...
38
2023-01-20T16:40:54Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04130153730511665, -0.0008202779572457075, -0.009534052573144436, 0.0496688149869442, 0.030239704996347427, 0.022192057222127914, -0.026417069137096405, -0.036598578095436096, -0.00630875863134861, 0.049307264387607574, 0.018215158954262733, -0.010022709146142006, 0.021738672628998756, ...
Camzure/MaamiBot-test
[ "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
2023-01-20T16:54:54Z
--- 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 ...
[ -0.045474518090486526, -0.0012927721254527569, -0.021753324195742607, 0.03259556367993355, 0.04347774386405945, 0.01815759390592575, -0.017993764951825142, -0.03044671192765236, -0.0373118594288826, 0.0690208226442337, 0.021140137687325478, 0.0033630640245974064, 0.015475994907319546, 0.02...
Camzure/MaamiBot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-20T17:00:14Z
--- license: openrail language: - en metrics: - f1 library_name: fairseq pipeline_tag: audio-classification --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> We explore benefits of unsupervised pretraining of wav2vec 2.0 (W2V2) using large-scale unlabeled home recordings collec...
[ -0.03541385009884834, -0.010484038852155209, -0.021025430411100388, 0.017766332253813744, 0.03814718499779701, 0.01111613679677248, -0.019946284592151642, 0.006322924047708511, 0.004237339831888676, 0.05463448166847229, 0.017748210579156876, -0.028589889407157898, -0.00510126119479537, 0.0...
Canadiancaleb/DialoGPT-small-walter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
2023-01-20T17:12:49Z
--- 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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Canadiancaleb/jessebot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-20T17:15:12Z
--- 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...
[ -0.04981560632586479, -0.01607503928244114, -0.008929151110351086, 0.036531317979097366, 0.04114064574241638, 0.0031561199575662613, -0.021458156406879425, -0.0105183320119977, -0.03810573369264603, 0.056817859411239624, 0.024387819692492485, -0.0030305085238069296, 0.03187676891684532, 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
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.05165756493806839, 0.004622073844075203, -0.004963335581123829, 0.05662188678979874, 0.02614733576774597, 0.0286098700016737, -0.00426827184855938, -0.02893950045108795, -0.005395784974098206, 0.04949570074677467, 0.017699211835861206, -0.012068822979927063, 0.006803705357015133, 0.0231...
Capreolus/birch-bert-large-msmarco_mb
[ "pytorch", "tf", "jax", "bert", "next-sentence-prediction", "transformers" ]
null
{ "architectures": [ "BertForNextSentencePrediction" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
1
null
--- license: cc-by-nc-4.0 --- JAX weights converted from Torch checkpoint at `facebook/galactica-1.3b`. ```python (env) ubuntu@vm:~$ JAX_PLATFORM_NAME=cpu python3 >>> import jax >>> print(jax.devices()) [CpuDevice(id=0)] # Ensure that model weights are loaded into CPU RAM, not accelerator memory. >>> from transfo...
[ -0.040258582681417465, -0.024013342335820198, -0.02992970682680607, 0.03742033615708351, 0.04490096494555473, 0.04306233301758766, -0.005098927300423384, -0.01130744069814682, -0.01304700504988432, 0.04196695238351822, 0.07244845479726791, -0.011948317289352417, 0.025269897654652596, 0.033...
Captain-1337/CrudeBERT
[ "pytorch", "bert", "text-classification", "arxiv:1908.10063", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- 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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Carlork314/Carlos
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Access to model Monan/Abc2 is restricted and you are not in the authorized list. Visit https://huggingface.co/Monan/Abc2 to ask for access.
[ -0.06263120472431183, -0.009452381171286106, -0.0056870318949222565, 0.04599002003669739, 0.03596878424286842, 0.0015914441319182515, -0.0007930790889076889, -0.002774199703708291, -0.040340110659599304, 0.025015858933329582, 0.03638535737991333, 0.014746536500751972, -0.0062994142062962055,...
CarlosTron/Yo
[]
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: - autotrain - vision - image-classification datasets: - sbrandeis-test-org/autotrain-data-retrain-db16d58 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...
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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
Access to model WebDUh1/autotrain-faqued-2983486071 is restricted and you are not in the authorized list. Visit https://huggingface.co/WebDUh1/autotrain-faqued-2983486071 to ask for access.
[ -0.03772502765059471, 0.000931985501665622, -0.008043123409152031, 0.02713427133858204, 0.04521387070417404, 0.034696705639362335, -0.002794003812596202, 0.005702020600438118, -0.0445682629942894, 0.036527443677186966, 0.03208146616816521, 0.013668522238731384, -0.005308309104293585, 0.040...
dccuchile/albert-large-spanish-finetuned-pos
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
1
null
--- language: - en license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- moved to https://huggingface.co/MyneFactory/MF-EminenceInShadow
[ -0.031568385660648346, 0.0026350279804319143, -0.022159790620207787, -0.007794452365487814, 0.04827427491545677, 0.015429475344717503, -0.008497086353600025, 0.0036867610178887844, -0.034937046468257904, 0.04382755607366562, 0.038194045424461365, 0.007678395602852106, 0.007097654510289431, ...
Certified-Zoomer/DialoGPT-small-rick
[]
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: wav2vec2-internship 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. --> # wav2vec2-internship This model is ...
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ChrisP/xlm-roberta-base-finetuned-marc-en
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en license: mit tags: - generated_from_trainer datasets: - tomekkorbak/pii-pile-chunk3-0-50000 - tomekkorbak/pii-pile-chunk3-50000-100000 - tomekkorbak/pii-pile-chunk3-100000-150000 - tomekkorbak/pii-pile-chunk3-150000-200000 - tomekkorbak/pii-pile-chunk3-200000-250000 - tomekkorbak/pii-pile-chunk3-2500...
[ -0.012019396759569645, -0.029888276010751724, -0.019505493342876434, 0.012672490440309048, 0.034471068531274796, 0.003476734273135662, -0.0022804015316069126, 0.0005997114931233227, -0.04758039116859436, 0.06919103860855103, 0.015308952890336514, -0.022621946409344673, 0.011558068916201591, ...
ChrisVCB/DialoGPT-medium-cmjs
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: mit tags: - generated_from_trainer datasets: - germeval_14 metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: germeval_14 type: germeval_14 config: germeval_14 ...
[ -0.02435680851340294, -0.011509702540934086, 0.008579219691455364, 0.029740646481513977, 0.02670346200466156, 0.016811516135931015, -0.019863951951265335, -0.016362644731998444, -0.02730482444167137, 0.04686790332198143, 0.017245540395379066, -0.048301417380571365, 0.014604839496314526, 0....
ChrisVCB/DialoGPT-medium-ej
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.54 +/- 2.74 ...
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ChristianOrr/madnet_keras
[ "tensorboard", "dataset:flyingthings-3d", "dataset:kitti", "arxiv:1810.05424", "vision", "deep-stereo", "depth-estimation", "Tensorflow2", "Keras", "license:apache-2.0" ]
depth-estimation
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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ChristopherA08/IndoELECTRA
[ "pytorch", "electra", "pretraining", "id", "dataset:oscar", "transformers" ]
null
{ "architectures": [ "ElectraForPreTraining" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
4
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: basic-Reinforce-CartPole results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - ty...
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Chun/DialoGPT-medium-dailydialog
[ "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...
15
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 me...
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Chun/w-en2zh-hsk
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - beans metrics: - accuracy model-index: - name: vit-model1 results: - task: name: Image Classification type: image-classification dataset: name: beans type: beans config: default split: train args: defaul...
[ -0.014283508993685246, -0.004686685279011726, 0.005999267101287842, 0.03105955198407173, 0.04305368289351463, 0.0018173226853832603, -0.015523333102464676, -0.018735120072960854, -0.009538901038467884, 0.049574755132198334, 0.023897560313344002, -0.012100610882043839, 0.0004756404960062355, ...
Chun/w-en2zh-mtm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
Create your new pokemon Recommendations: TOKEN -> PokeModel Basic prompts: Positive: PokeModel, A new pokemon, Unknown type, (((realistic, hyper realistic, ultra detailed, hyper realistic textures))), awesome, masterly, randomly, perfect coherence, perfect lighting Negative: Deformed, blurry, colorless, bad ana...
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Chun/w-en2zh-otm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "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: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
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Chun/w-zh2en-mtm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- license: mit --- Causality detection model fine-tuned on both self-labeled data and both the training and dev sets from the Causal News Corpus (https://github.com/tanfiona/CausalNewsCorpus/tree/master/data).
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Chungu424/repo
[]
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: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - food widget: - text: Trump eating bhapa cake --- # DreamBooth model for the bhapa concept trained by nahidalam on the nahidalam/bhapa dataset. This is a Stable Diffusion ...
[ -0.021803390234708786, -0.027553627267479897, 0.005067368503659964, 0.02842431329190731, 0.017667848616838455, 0.016165772452950478, 0.011832062155008316, 0.004239535890519619, -0.016863947734236717, 0.04507584497332573, 0.04284915328025818, 0.004703953396528959, 0.010400946252048016, 0.01...
Clarianliz30/Caitlyn
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- inference: false tags: - text-generation - opt license: other commercial: false --- # OPT-IML ## Model Description [OPT-IML (OPT + Instruction Meta-Learning)](https://arxiv.org/abs/2212.12017) is a set of instruction-tuned versions of OPT, on a collection of ~2000 NLP tasks gathered from 8 NLP benchmarks, called...
[ -0.015769626945257187, -0.004500942304730415, -0.021882440894842148, 0.01943802461028099, 0.024069996550679207, 0.01759292371571064, -0.023128941655158997, -0.00827393215149641, -0.0018709581345319748, 0.06918441504240036, 0.05570600926876068, 0.0018416652455925941, -0.0032465746626257896, ...
CleveGreen/JobClassifier
[ "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...
31
null
--- tags: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-Slippery_ex02 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4 type: FrozenLake-v1-4x4 metri...
[ -0.01763971708714962, -0.01703467406332493, -0.0030228812247514725, 0.030925633385777473, 0.05185943469405174, -0.015608878806233406, -0.010309422388672829, -0.0064534712582826614, -0.05708952620625496, 0.0556660071015358, 0.003101327922195196, -0.0033346049021929502, 0.024595163762569427, ...
Cloudy/DialoGPT-CJ-large
[ "pytorch", "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...
1
null
--- tags: - autotrain - summarization language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - PoseyATX/autotrain-data-billwork_second_half co2_eq_emissions: emissions: 674.392653539903 --- # Model Trained Using AutoTrain - Problem type: Summarization - Model ID: 2990886304 - CO2 Emissions (in grams): 674....
[ -0.01874464564025402, -0.012102470733225346, 0.00653355335816741, 0.021747160702943802, 0.031003912910819054, 0.013531522825360298, -0.03509749844670296, -0.01531715877354145, -0.03993389382958412, 0.07942405343055725, 0.014829588122665882, 0.031662579625844955, 0.010369937866926193, 0.038...
CoShin/XLM-roberta-large_ko_en_nil_sts
[]
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: other language: - en - ja library_name: diffusers pipeline_tag: text-to-image tags: - art --- <style> code { white-space : pre-wrap !important; word-break: break-word; } </style> # モデル説明 (model explanation) - [CoolJapanDiffusion 2.1.1](https://huggingface.co/aipicasso/cool-japan-diffusion-2...
[ 0.007244454696774483, -0.046063847839832306, 0.009483132511377335, 0.040289316326379776, 0.022338353097438812, -0.001628794358111918, 0.012462900951504707, -0.005356319714337587, -0.034837063401937485, 0.05884610861539841, -0.006799930240958929, 0.0030850637704133987, 0.020373916253447533, ...
CoachCarter/distilbert-base-uncased
[]
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
# Stable Diffusion web UI A browser interface based on Gradio library for Stable Diffusion. ![](txt2img_Screenshot.png) Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) wiki page for extra scripts developed by users. ## Features [Detailed feature showcase with i...
[ -0.003339117858558893, -0.02538459189236164, -0.008326351642608643, 0.047377537935972214, 0.04951438307762146, 0.011079729534685612, 0.011098247952759266, -0.02005491778254509, -0.012082003988325596, 0.05531087517738342, 0.02195066772401333, -0.007196420803666115, 0.019441938027739525, 0.0...
CodeDanCode/SP-KyleBot
[ "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...
15
null
--- license: mit tags: - generated_from_trainer model-index: - name: mbart-large-50-finetuned-en-to-ko-8603428 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. --> # ...
[ -0.04250383749604225, 0.007313541602343321, -0.012850102968513966, 0.038880836218595505, 0.02637563832104206, 0.013733548112213612, -0.03654119372367859, -0.018872162327170372, -0.03367679938673973, 0.05270268768072128, 0.052329983562231064, -0.010934838093817234, 0.029598291963338852, 0.0...
CodeNinja1126/bert-q-encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
null
--- 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 ...
[ -0.03745994716882706, -0.0031316992826759815, -0.005032820161432028, 0.025871045887470245, 0.046111058443784714, -0.021173153072595596, -0.005475703626871109, -0.02735976129770279, -0.03331257402896881, 0.06630943715572357, 0.031861644238233566, -0.023213688284158707, 0.02281019650399685, ...
DARKVIP3R/DialoGPT-medium-Anakin
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- 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: 7.46 +/- 2.78...
[ -0.017055708914995193, -0.016276130452752113, -0.005784483160823584, 0.02419246733188629, 0.04470689594745636, 0.003933709114789963, -0.020695485174655914, 0.009019235149025917, -0.035238973796367645, 0.05487401410937309, 0.017846159636974335, -0.00696620624512434, 0.013979491777718067, 0....
DJStomp/TestingSalvoNET
[ "transformers" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
1
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: opus-mt-ko-en-finetuned-ko-to-en-2780616 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. -...
[ -0.02471005916595459, -0.009707510471343994, 0.019604576751589775, 0.023949120193719864, 0.038810111582279205, 0.009038269519805908, 0.0059348419308662415, -0.0009668316342867911, -0.042393866926431656, 0.05254346877336502, 0.018411079421639442, -0.016889821738004684, 0.020252635702490807, ...
DTAI-KULeuven/mbert-corona-tweets-belgium-curfew-support
[ "pytorch", "jax", "bert", "text-classification", "multilingual", "nl", "fr", "en", "arxiv:2104.09947", "transformers", "Tweets", "Sentiment analysis" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner-conll results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 c...
[ -0.003610235406085849, 0.01079738512635231, -0.01586146093904972, 0.027725527063012123, 0.03893263638019562, 0.015068020671606064, -0.03884609416127205, -0.03734036162495613, -0.03235182166099548, 0.05775249004364014, 0.030492879450321198, -0.014733871445059776, 0.018264492973685265, 0.031...
DTAI-KULeuven/robbertje-1-gb-bort
[ "pytorch", "roberta", "fill-mask", "nl", "dataset:oscar", "dataset:oscar (NL)", "dataset:dbrd", "dataset:lassy-ud", "dataset:europarl-mono", "dataset:conll2002", "arxiv:2101.05716", "transformers", "Dutch", "Flemish", "RoBERTa", "RobBERT", "RobBERTje", "license:mit", "autotrain_c...
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...
6
2023-01-21T07:32:22Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03252790868282318, -0.00030175739084370434, -0.02094201184809208, 0.050478287041187286, 0.039514243602752686, 0.026150118559598923, -0.0003988443349953741, -0.03668932989239693, -0.023891886696219444, 0.04864335432648659, 0.02589351311326027, -0.0062886918894946575, 0.015828005969524384, ...
DTAI-KULeuven/robbertje-1-gb-merged
[ "pytorch", "roberta", "fill-mask", "nl", "dataset:oscar", "dataset:oscar (NL)", "dataset:dbrd", "dataset:lassy-ud", "dataset:europarl-mono", "dataset:conll2002", "arxiv:2101.05716", "transformers", "Dutch", "Flemish", "RoBERTa", "RobBERT", "RobBERTje", "license:mit", "autotrain_c...
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...
1
null
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image inference: false library_name: diffusers extra_gated_prompt: |- One more step before getting this model. This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying ri...
[ 0.0006133932620286942, -0.009287330321967602, -0.021405471488833427, 0.02315363474190235, 0.0362408272922039, 0.0256656464189291, 0.007969710044562817, -0.007274614181369543, -0.008834715001285076, 0.05599803850054741, 0.015399804338812828, -0.008356635458767414, 0.0062767574563622475, 0.0...
alexandrainst/da-emotion-classification-base
[ "pytorch", "tf", "bert", "text-classification", "da", "transformers", "license:cc-by-sa-4.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
837
null
Access to model chrisdiablo/chrisface is restricted and you are not in the authorized list. Visit https://huggingface.co/chrisdiablo/chrisface to ask for access.
[ -0.04998406767845154, 0.014865156263113022, -0.004321668297052383, 0.006115526892244816, 0.04121502861380577, 0.011352763511240482, -0.014893111772835255, 0.0007070590509101748, -0.0276783537119627, 0.05066332966089249, 0.04553893581032753, 0.011881805956363678, -0.0019786376506090164, 0.0...
alexandrainst/da-hatespeech-classification-base
[ "pytorch", "tf", "safetensors", "bert", "text-classification", "da", "transformers", "license:cc-by-sa-4.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
866
2023-01-21T08:04:26Z
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - animal widget: - text: beila dog sitting on top of the deck of a battle ship traveling through the open sea with a lot of ships surrounding it --- # DreamBooth model f...
[ -0.03217543289065361, -0.021548865363001823, -0.014915163628757, 0.03235768899321556, 0.027991801500320435, 0.024651775136590004, -0.016727808862924576, -0.004320903681218624, -0.0190881360322237, 0.051980528980493546, 0.015489124692976475, -0.00622490793466568, -0.0172572061419487, 0.0420...
alexandrainst/da-subjectivivity-classification-base
[ "pytorch", "tf", "safetensors", "bert", "text-classification", "da", "dataset:DDSC/twitter-sent", "dataset:DDSC/europarl", "transformers", "license:cc-by-sa-4.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
846
null
--- tags: - generated_from_trainer model-index: - name: For_inference 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. --> # For_inference This model is a fine-tuned...
[ -0.036239322274923325, -0.01054575014859438, -0.018565427511930466, 0.03685122728347778, 0.030486412346363068, 0.028060639277100563, -0.00737474299967289, 0.0016092262230813503, -0.03512689098715782, 0.05296806991100311, 0.0493413545191288, -0.014715554192662239, 0.006170447450131178, 0.04...
alexandrainst/da-ned-base
[ "pytorch", "tf", "xlm-roberta", "text-classification", "da", "transformers", "license:cc-by-sa-4.0" ]
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, ...
25
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.05075142905116081, 0.009904282167553902, -0.008985106833279133, 0.058265190571546555, 0.027686497196555138, 0.031596675515174866, -0.0017735726432874799, -0.034535568207502365, 0.0002539687557145953, 0.05246950313448906, 0.01881270296871662, -0.015111171640455723, 0.003735601669177413, ...