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
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51
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embedding
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ArashEsk95/bert-base-uncased-finetuned-sst2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v0 results: - metrics: - type: mean_reward value: 7.56 +/- 2.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: name: Tax...
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Aravinth/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-7 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. --> # wav2vec2-7 This model i...
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ArcQ/gpt-experiments
[]
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
# Introduction See https://github.com/k2-fsa/icefall/pull/330 No random combiner inside. Tensorboard logs: https://tensorboard.dev/experiment/xREbAh7RS9m2TADGRLVx2g/
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Arcanos/1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v1_100000 results: - metrics: - type: mean_reward value: 7.56 +/- 2.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: na...
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ArenaGrenade/char-cnn
[]
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
# KoMiniLM 🐣 Korean mini language model ## Overview Current language models usually consist of hundreds of millions of parameters which brings challenges for fine-tuning and online serving in real-life applications due to latency and capacity constraints. In this project, we release a light weight korean language mod...
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Arghyad/Loki_small
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - yelp_review_full metrics: - accuracy model-index: - name: my-awesome-model results: - task: name: Text Classification type: text-classification dataset: name: yelp_review_full type: yelp_review_full args: yelp_revie...
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AriakimTaiyo/DialoGPT-medium-Kumiko
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - rouge model-index: - name: mT5_multilingual_XLSum-finetuned-summarization-V2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comm...
[ -0.006136218085885048, -0.024723375216126442, 0.008300199173390865, 0.04608207941055298, 0.036482714116573334, 0.009963004849851131, -0.03388062119483948, -0.01956077851355076, -0.04237620532512665, 0.0459025576710701, 0.0314558669924736, -0.026283280923962593, 0.012767809443175793, 0.0345...
AriakimTaiyo/DialoGPT-revised-Kumiko
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: - "ja" tags: - "japanese" - "masked-lm" license: "cc-by-sa-4.0" pipeline_tag: "fill-mask" mask_token: "[MASK]" widget: - text: "日本に着いたら[MASK]を訪ねなさい。" --- # deberta-small-japanese-aozora ## Model Description This is a DeBERTa(V2) model pre-trained on 青空文庫 texts. NVIDIA A100-SXM4-40GB took 6 hours 42 min...
[ -0.012932749465107918, -0.04791800677776337, 0.017485255375504494, 0.038148343563079834, 0.03564633056521416, 0.017443204298615456, 0.0015414264053106308, -0.007530085742473602, -0.03916275128722191, 0.09299851208925247, 0.01727445051074028, -0.018110504373908043, -0.0005041245021857321, 0...
AriakimTaiyo/DialoGPT-small-Rikka
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2022-05-23T05:26:25Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - metrics: - type: mean_reward value: 256.70 +/- 25.38 name: mean_reward task: type: reinforcement-learning name: re...
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AriakimTaiyo/kumiko
[]
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
2022-05-23T05:26:58Z
--- tags: - translation license: apache-2.0 datasets: - thai2rom-v2 metrics: - cer widget: - text: "maiphai" --- # Roman-Thai Transliterator by Transformer Models GitHub: https://github.com/wannaphong/thai2rom-v2/tree/main/roman2thai-transformer
[ -0.05107640475034714, -0.025704240426421165, 0.02908329851925373, 0.01338136289268732, 0.030883630737662315, 0.005793838761746883, -0.0192742720246315, -0.003578103380277753, -0.05244723707437515, 0.03437921404838562, 0.026222825050354004, -0.016105733811855316, 0.012919710017740726, 0.023...
Aries/T5_question_answering
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
5
null
--- license: apache-2.0 tags: - summarization - arabic - am - es - amharic - mt5 - Abstractive Summarization - generated_from_trainer model-index: - name: mt5-base-finetuned-ar-sp results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should ...
[ -0.013948324136435986, -0.01160264853388071, -0.01326797716319561, 0.042909033596515656, 0.04470172896981239, 0.001147282076999545, -0.029633615165948868, -0.01202786061912775, -0.04043828696012497, 0.05577274039387703, 0.00777297280728817, -0.03373660147190094, 0.009586993604898453, 0.028...
Aries/T5_question_generation
[ "pytorch", "jax", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
13
null
--- tags: - generated_from_keras_callback model-index: - name: kobart-kormath 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. --> # kobart-kormath This model was trained ...
[ -0.037229325622320175, -0.023359492421150208, -0.006616259925067425, 0.025222018361091614, 0.01393426489084959, 0.02613385207951069, -0.012557336129248142, -0.0020281346514821053, -0.03831645846366882, 0.04584931954741478, 0.026244372129440308, -0.008512037806212902, 0.012739578261971474, ...
asaakyan/mbart-poetic-all
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: keras --- ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - optimizer: {'name...
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ArnaudPannatier/MLPMixer
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
## This is the model for the 'Sum_it' app ## Find it at HuggingFace Spaces! https://huggingface.co/spaces/SamuelMiller/sum_it
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Atampy26/GPT-Glacier
[ "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...
5
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - metrics: - type: mean_reward value: 9.59 +/- 2.21 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: name: Tax...
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Axon/resnet34-v1
[ "dataset:ImageNet", "arxiv:1512.03385", "Axon", "Elixir", "license:apache-2.0" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - tweet_eval metrics: - precision - recall model-index: - name: bert-emotion results: - task: name: Text Classification type: text-classification dataset: name: tweet_eval type: tweet_eval args: emotion metrics: ...
[ -0.0031443045008927584, -0.006289891432970762, -0.024704907089471817, 0.03980116918683052, 0.05288521945476532, 0.03486907482147217, -0.027432318776845932, -0.03405142202973366, -0.03865610435605049, 0.045826468616724014, 0.02005588635802269, -0.035294611006975174, 0.015956789255142212, 0....
Ayham/xlnet_gpt_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
11
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: mBERTnews 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. --> # ...
[ -0.03365622088313103, -0.017104625701904297, -0.03541485220193863, 0.05968718230724335, 0.030684996396303177, 0.030833980068564415, -0.002144490834325552, -0.028628960251808167, -0.04504997655749321, 0.07155167311429977, 0.020888417959213257, -0.025421129539608955, 0.020285604521632195, 0....
BME-TMIT/foszt2oszt
[ "pytorch", "encoder-decoder", "text2text-generation", "hu", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
15
null
--- license: apache-2.0 tags: - medium-summarization - generated_from_trainer model-index: - name: t5-small-finetuned-tds 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 comme...
[ -0.01796652562916279, -0.005640246905386448, 0.0018272019224241376, 0.013587746769189835, 0.035511113703250885, 0.008805620484054089, -0.031061595305800438, 0.0012531335232779384, -0.03445075452327728, 0.052232760936021805, 0.0330234095454216, -0.009622820653021336, 0.020490510389208794, 0...
Babelscape/rebel-large
[ "pytorch", "safetensors", "bart", "text2text-generation", "en", "dataset:Babelscape/rebel-dataset", "transformers", "seq2seq", "relation-extraction", "license:cc-by-nc-sa-4.0", "model-index", "autotrain_compatible", "has_space" ]
text2text-generation
{ "architectures": [ "BartForConditionalGeneration" ], "model_type": "bart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
9,458
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - metrics: - type: mean_reward value: 265.14 +/- 22.36 name: mean_reward task: type: reinforcement-learning name: re...
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Bakkes/BakkesModWiki
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - metrics: - type: mean_reward value: 7.56 +/- 2.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: name: Tax...
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Baybars/wav2vec2-xls-r-300m-cv8-turkish
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "tr", "dataset:common_voice", "transformers", "common_voice", "generated_from_trainer", "hf-asr-leaderboard", "robust-speech-event", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
2022-05-23T19:00:34Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-base-timit-google-colab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # wa...
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BearThreat/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
30
2022-05-23T19:02:57Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - metrics: - type: mean_reward value: 253.47 +/- 12.25 name: mean_reward task: type: reinforcement-learning name: re...
[ -0.039540309458971024, -0.004876043647527695, -0.005633591208606958, 0.02628345414996147, 0.04410845413804054, -0.016666682437062263, -0.007327093277126551, -0.02553975209593773, -0.03649977967143059, 0.06578610092401505, 0.03039749525487423, -0.022260207682847977, 0.023446746170520782, 0....
Beatriz/model_name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-05-23T19:03:15Z
# dant5-large --- language: - da language_bcp47: - da - da-bornholm - da-synnejyl tags: - t5 license: cc-by-4.0 datasets: - dagw widget: - text: "Aarhus er Danmarks <extra_id_0>.<extra_id_2>" co2_eq_emissions: training_type: "pretraining" geographical_location: "Copenhagen, Denmark" hardware_used: "4...
[ -0.03228595852851868, -0.0021897137630730867, -0.0033271813299506903, 0.04102998599410057, 0.04374079778790474, 0.01684911549091339, -0.01790793612599373, -0.02873828075826168, -0.04291166737675667, 0.04535100609064102, 0.02189887873828411, -0.0011354258749634027, -0.01633051596581936, 0.0...
Belin/T5-Terms-and-Conditions
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-05-23T19:10:05Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb model-index: - name: distilbert-base-uncased-finetuned-imdb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.01561572216451168, 0.006254096515476704, -0.0346703864634037, 0.04655739665031433, 0.04686351120471954, 0.027355803176760674, -0.020116601139307022, -0.02631094492971897, -0.0313003771007061, 0.06551356613636017, 0.047425296157598495, -0.02560950443148613, 0.013107252307236195, 0.046775...
Bharathdamu/wav2vec2-large-xls-r-300m-hindi
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:common_voice", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
10
2022-05-23T19:22:25Z
``` from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln45") model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln45") ``` ``` How To Make Prompt: informal english: i am very ready to do that just that. Tra...
[ -0.02084043249487877, -0.020685581490397453, -0.0578438900411129, 0.05115103721618652, 0.047563113272190094, 0.051675401628017426, -0.016964655369520187, 0.006820706184953451, -0.04335666820406914, 0.06298578530550003, 0.028165554627776146, -0.009238768368959427, 0.016485940665006638, 0.00...
Bhuvana/t5-base-spellchecker
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
93
2022-05-23T19:30:48Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - metrics: - type: mean_reward value: 7.56 +/- 2.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: name: Tax...
[ -0.02225605770945549, -0.01513108890503645, -0.008855320513248444, 0.0295969620347023, 0.046873703598976135, -0.0018940080190077424, -0.01737133227288723, 0.0030259706545621157, -0.04352962225675583, 0.05554090812802315, 0.012796098366379738, -0.014007223770022392, 0.01067867036908865, 0.0...
BigSalmon/InformalToFormalLincoln15
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: electric_pole_type_classification results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.8571428656578064 --- # ...
[ -0.03897755220532417, 0.006550914142280817, 0.017947524785995483, 0.0175259280949831, 0.0419800765812397, -0.0048539163544774055, -0.02179611846804619, 0.00724441884085536, -0.0418303944170475, 0.0509638711810112, 0.02489248476922512, 0.0006685257540084422, -0.008015407249331474, 0.0592071...
BigSalmon/InformalToFormalLincoln20
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2022-05-23T20:15:59Z
--- tags: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-Slippery_param1 results: - metrics: - type: mean_reward value: 0.27 +/- 0.44 name: mean_reward task: type: reinforcement-learning name: reinforcement-l...
[ -0.019764075055718422, -0.017936063930392265, -0.004423149395734072, 0.034802570939064026, 0.04977165162563324, -0.018203336745500565, -0.010951855219900608, -0.010794876143336296, -0.06181321293115616, 0.05690201744437218, -0.0001805615029297769, -0.01172981970012188, 0.0202715415507555, ...
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
2022-05-23T20:18:33Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-3000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb args: plain_text met...
[ -0.012779833748936653, -0.010790921747684479, -0.030296865850687027, 0.04649140313267708, 0.0364595465362072, 0.03655388206243515, -0.021839162334799767, -0.020646920427680016, -0.03671800717711449, 0.06496532261371613, 0.04655073210597038, -0.018609268590807915, 0.019498363137245178, 0.04...
BigSalmon/InformalToFormalLincolnDistilledGPT2
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2022-05-23T20:22:50Z
--- language: en tags: - exbert license: apache-2.0 datasets: - openwebtext --- # DistilGPT2 # test DistilGPT2 English language model pretrained with the supervision of [GPT2](https://huggingface.co/gpt2) (the smallest version of GPT2) on [OpenWebTextCorpus](https://skylion007.github.io/OpenWebTextCorpus/), a reprodu...
[ 0.008376720361411572, -0.037551358342170715, -0.027455072849988937, 0.03519753739237785, 0.030187780037522316, 0.02433820068836212, -0.004201708827167749, -0.016461100429296494, -0.011315959505736828, 0.061035484075546265, 0.0018663534428924322, -0.0007266292232088745, 0.005908084101974964, ...
BigSalmon/MrLincoln14
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-05-23T20:33:43Z
--- tags: autotrain language: en widget: - text: "I love AutoTrain 🤗" datasets: - ismail-lucifer011/autotrain-data-name_vsv_all co2_eq_emissions: 110.53225910657005 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 901529445 - CO2 Emissions (in grams): 110.53225910657005 ## Validatio...
[ -0.0262468084692955, -0.022824043408036232, -0.01637129671871662, 0.02978886477649212, 0.04832328483462334, 0.035442713648080826, -0.02398310974240303, -0.019288890063762665, -0.04395204037427902, 0.07860511541366577, 0.027581265196204185, 0.02576635032892227, 0.004521784372627735, 0.04506...
BigSalmon/MrLincoln3
[ "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...
17
2022-05-23T20:35:16Z
--- license: - other - apache-2.0 tags: - generated_from_trainer - text-generation - OPT - non-commercial - dialogue - chatbot - ai-msgbot library_name: transformers pipeline_tag: text-generation widget: - text: 'If you could live anywhere, where would it be? peter szemraj:' example_title: live anywhere - text...
[ 0.006554941181093454, -0.02349134162068367, -0.0037589550483971834, 0.03975891321897507, 0.032547470182180405, 0.03317447751760483, -0.01468286570161581, 0.017040766775608063, -0.04179183766245842, 0.06193767115473747, 0.04785103723406792, -0.0013069221749901772, 0.008014141581952572, 0.02...
Blabla/Pipipopo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: andywedlake/test-finetuned-imdb 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. --> # an...
[ -0.023666631430387497, -0.019707977771759033, -0.002527457196265459, 0.018648633733391762, 0.03376298025250435, 0.014172980561852455, -0.027770129963755608, -0.014892304316163063, -0.034093860536813736, 0.062368664890527725, 0.031286947429180145, -0.024648502469062805, 0.029134251177310944, ...
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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - f1 model-index: - name: bert-zs-sentence-classifier 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. ...
[ -0.00786187406629324, -0.015077903866767883, -0.03426848724484444, 0.059531841427087784, 0.04145808145403862, 0.01989361271262169, -0.023856403306126595, -0.024925408884882927, -0.05852804332971573, 0.06192944198846817, 0.006648915819823742, -0.019512642174959183, 0.019168775528669357, 0.0...
Branex/gpt-neo-2.7B
[]
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
2022-05-23T21:44:23Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: huggingfaceclass-qtable-FrozenLake-v1-4x4-noslip results: - metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward task: type: reinforcement-learning ...
[ -0.022751301527023315, -0.013497312553226948, 0.0010825195349752903, 0.04105108231306076, 0.0400938056409359, -0.02286815457046032, -0.02100769802927971, -0.02279350347816944, -0.05509304255247116, 0.05892034247517586, -0.00975935347378254, -0.012915284372866154, 0.025378426536917686, 0.03...
BrianTin/MTBERT
[ "pytorch", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
2022-05-23T21:57:05Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - metrics: - type: mean_reward value: 7.56 +/- 2.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: name: Tax...
[ -0.022618312388658524, -0.013640183955430984, -0.008497519418597221, 0.033301759511232376, 0.04584203287959099, -0.0037786876782774925, -0.016796041280031204, 0.0004772030224557966, -0.0438523143529892, 0.05801095813512802, 0.012950626201927662, -0.013759041205048561, 0.007362845819443464, ...
Broadus20/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- language: - "eng" thumbnail: "URL to a thumbnail used in social sharing" tags: - "PyTorch" - "tensorflow" license: "apache-2.0" --- # viniLM-2021-from-large ### Model Info: <ul> <li> Authors: R&D AI Lab, VMware Inc. <li> Model date: Jun 2022 <li> Model version: 2021-distilled-from-large <li> Model type: Pret...
[ -0.021635431796312332, -0.030697474256157875, -0.009662310592830181, 0.03770747035741806, 0.035161927342414856, -0.0014374025631695986, -0.0016288640908896923, -0.024377286434173584, 0.004692483693361282, 0.053278133273124695, 0.048770394176244736, -0.009410473518073559, -0.00972357951104641...
Brona/model1
[]
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
2022-05-23T22:25:39Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-11 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. --> # wav2vec2-11 This model...
[ -0.029886558651924133, -0.011694468557834625, -0.011457545682787895, 0.029814939945936203, 0.03454726189374924, 0.012708615511655807, -0.012320607900619507, 0.00044496377813629806, -0.027718063443899155, 0.05103381350636482, 0.023210827261209488, -0.029610220342874527, 0.012219633907079697, ...
BrunoNogueira/DialoGPT-kungfupanda
[ "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
2022-05-23T22:32:52Z
--- tags: autotrain language: en widget: - text: "I love AutoTrain 🤗" datasets: - ismail-lucifer011/autotrain-data-company_vs_all co2_eq_emissions: 111.96508441754436 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 902129475 - CO2 Emissions (in grams): 111.96508441754436 ## Validat...
[ -0.026802899315953255, -0.024751272052526474, -0.011379966512322426, 0.027776945382356644, 0.04851159080862999, 0.03593243658542633, -0.026874462142586708, -0.01575925201177597, -0.046080589294433594, 0.07722923904657364, 0.024500055238604546, 0.02442721650004387, 0.0005418803193606436, 0....
Brunomezenga/NN
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: huggingfaceclass-qtable-FrozenLake-v1-4x4-slip results: - metrics: - type: mean_reward value: 0.02 +/- 0.15 name: mean_reward task: type: reinforcement-learning name: rein...
[ -0.023828374221920967, -0.013309604488313198, 0.005103282630443573, 0.04225323349237442, 0.03967323154211044, -0.022875402122735977, -0.021215347573161125, -0.022601576521992683, -0.051199622452259064, 0.05889638513326645, -0.0064741638489067554, -0.009999656118452549, 0.02629653736948967, ...
Bryan190/Aguy190
[]
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
2022-05-23T23:13:53Z
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: huggingfaceclass-qtable-FrozenLake-v1-8x8-slip results: - metrics: - type: mean_reward value: 0.38 +/- 0.49 name: mean_reward task: type: reinforcement-learning name: rein...
[ -0.02567676454782486, -0.012715968303382397, 0.005327154416590929, 0.041989605873823166, 0.0401974692940712, -0.02418692596256733, -0.019731352105736732, -0.022082822397351265, -0.052236493676900864, 0.05972219631075859, -0.005909207742661238, -0.011492446064949036, 0.027072599157691002, 0...
Bryanwong/wangchanberta-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: roberta-base-biomedical-clinical-es-finetuned-ner results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this c...
[ -0.02537122555077076, -0.0015518537256866693, 0.010461399331688881, 0.009280272759497166, 0.02979687787592411, 0.020114457234740257, -0.019027985632419586, -0.025916682556271553, -0.02876410447061062, 0.02497950941324234, 0.011380337178707123, -0.03283905237913132, 0.012196139432489872, 0....
Brykee/DialoGPT-medium-Morty
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- license: mit tags: - yolo - cpu - quant - pruned ---
[ -0.047225210815668106, -0.020587753504514694, 0.0068327332846820354, -0.002919757505878806, 0.013628415763378143, 0.008002814836800098, -0.00010768691572593525, 0.02369297668337822, -0.018207166343927383, 0.02379106543958187, 0.04124711453914642, -0.0007025256054475904, 0.026664650067687035,...
Bryson575x/riceboi
[]
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
2022-05-23T23:55:56Z
--- language: - "ja" tags: - "japanese" - "token-classification" - "pos" - "dependency-parsing" datasets: - "universal_dependencies" license: "cc-by-sa-4.0" pipeline_tag: "token-classification" widget: - text: "国境の長いトンネルを抜けると雪国であった。" --- # deberta-small-japanese-upos ## Model Description This is a DeBERTa(V2) model ...
[ -0.012820865958929062, -0.033943045884370804, 0.0031897875014692545, 0.0363154411315918, 0.029124891385436058, 0.0338805727660656, 0.0013957920018583536, 0.003951553255319595, -0.034222960472106934, 0.08795400708913803, -0.00017599902639631182, -0.012073714286088943, 0.015753494575619698, ...
Bubb-les/DisloGPT-medium-HarryPotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- language: en thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4...
[ 0.005549183115363121, -0.03595380485057831, 0.0007287016487680376, 0.03289845585823059, 0.048197027295827866, 0.01443435437977314, -0.025898098945617676, -0.006070809904485941, -0.029974812641739845, 0.03787052258849144, -0.002330190734937787, -0.009628182277083397, 0.003026594640687108, 0...
BumBelDumBel/TRUMP
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
2022-05-24T00:30:50Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: ppo results: - metrics: - type: mean_reward value: 248.37 +/- 18.68 name: mean_reward task: type: reinforcement-learning name: re...
[ -0.04103102535009384, -0.004698600620031357, -0.003979846835136414, 0.0278925821185112, 0.04190419614315033, -0.015944287180900574, -0.00800325907766819, -0.02676207944750786, -0.03660571575164795, 0.06814701855182648, 0.03324940800666809, -0.020484434440732002, 0.022026510909199715, 0.002...
BumBelDumBel/ZORK-AI-TEST
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer", "license:mit" ]
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
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - metrics: - type: mean_reward value: 238.25 +/- 47.46 name: mean_reward task: type: reinforcement-learning name: re...
[ -0.03962951526045799, -0.0047208103351294994, -0.006074185483157635, 0.02648070827126503, 0.044030074030160904, -0.017066067084670067, -0.007283185143023729, -0.026027707383036613, -0.03604483976960182, 0.0654323548078537, 0.030401118099689484, -0.02307932637631893, 0.023394012823700905, 0...
BumBelDumBel/ZORK_AI_FANTASY
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2022-05-24T01:41:29Z
# Introduction This model translate between Yoda-ish to English and vice versa. It makes use of the [T5-base](https://huggingface.co/t5-base) model and finetuning. Basically it trains for 2 tasks using the same dataset. In Yoda-ish to English, trains # Dataset For this first version of the model I used a small sample...
[ -0.0036875277291983366, -0.023714914917945862, -0.03129791468381882, 0.053788647055625916, 0.05976873263716698, 0.055632583796978, -0.00589473731815815, -0.02862168289721012, -0.038312431424856186, 0.0351875014603138, 0.02164989896118641, -0.025529464706778526, 0.02370258793234825, 0.04428...
BunakovD/sd
[]
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
2022-05-24T01:48:33Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice model-index: - name: wav2vec2-large-xls-r-53h-turkish-colab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then...
[ -0.027729615569114685, 0.0036748326383531094, -0.01845204085111618, 0.04711572080850601, 0.049108974635601044, 0.013750250451266766, -0.012492216192185879, -0.004442677833139896, -0.01285484991967678, 0.04861977696418762, 0.031830769032239914, -0.023224281147122383, -0.004967761225998402, ...
Buntan/bert-finetuned-ner
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
8
2022-05-24T01:53:01Z
--- license: apache-2.0 tags: - summarization - generated_from_trainer metrics: - rouge model-index: - name: mt5-small-finetuned-amazon-en-es results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, th...
[ -0.02249610424041748, -0.0023978538811206818, 0.010664370842278004, 0.026825977489352226, 0.038665588945150375, -0.002766320249065757, -0.027759956195950508, -0.005946808028966188, -0.04541423171758652, 0.0527825728058815, 0.024699844419956207, -0.024389248341321945, 0.010615251958370209, ...
Bwehfuk/Ron
[]
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
2022-05-24T02:02:50Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: arjunpatel/distilgpt2-finetuned-pokemon-moves 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 comm...
[ -0.030767282471060753, -0.004594956059008837, 0.005082413554191589, 0.004738607443869114, 0.03565604239702225, 0.00020925745775457472, -0.010889816097915173, -0.004464225843548775, -0.031184688210487366, 0.05525730550289154, 0.02516109310090542, -0.022867873311042786, 0.017009733244776726, ...
CALM/CALM
[]
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: - metrics: - type: mean_reward value: 199.28 +/- 60.88 name: mean_reward task: type: reinforcement-learning name: re...
[ -0.040192581713199615, -0.005111627746373415, -0.006261362694203854, 0.02691635489463806, 0.04341207072138786, -0.016365952789783478, -0.007655307650566101, -0.025672733783721924, -0.03643466904759407, 0.0655427947640419, 0.02984365075826645, -0.022641828283667564, 0.0236101895570755, 0.00...
CAMeL-Lab/bert-base-arabic-camelbert-ca-ner
[ "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...
85
2022-05-24T03:05:45Z
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: huggingfaceclass-qtable-FrozenLake-v1-8x8-slip2 results: - metrics: - type: mean_reward value: 0.51 +/- 0.50 name: mean_reward task: type: reinforcement-learning name: rei...
[ -0.025003910064697266, -0.014466692693531513, 0.00492776557803154, 0.042603474110364914, 0.040187109261751175, -0.0234425850212574, -0.021452855318784714, -0.02423064596951008, -0.05143580958247185, 0.05828823521733284, -0.006420529913157225, -0.009303742088377476, 0.025709208101034164, 0....
CAMeL-Lab/bert-base-arabic-camelbert-ca-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...
18
2022-05-24T03:52:45Z
--- language: - "ja" tags: - "japanese" - "token-classification" - "pos" - "dependency-parsing" datasets: - "universal_dependencies" license: "cc-by-sa-4.0" pipeline_tag: "token-classification" widget: - text: "国境の長いトンネルを抜けると雪国であった。" --- # deberta-small-japanese-luw-upos ## Model Description This is a DeBERTa(V2) mo...
[ -0.010898822918534279, -0.03455650433897972, 0.0013902380596846342, 0.03623292222619057, 0.029381731525063515, 0.034753717482089996, 0.0017523064743727446, 0.002203721785917878, -0.03258232772350311, 0.08664534240961075, 0.0025977296754717827, -0.011559621430933475, 0.013786962255835533, 0...
CAMeL-Lab/bert-base-arabic-camelbert-ca-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...
71
2022-05-24T04:14:49Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: xlsr-wav2vec2-1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # xlsr-wav2vec2-1 Th...
[ -0.03339315578341484, -0.0009727002470754087, -0.012113850563764572, 0.02857366017997265, 0.03967789188027382, 0.011403501965105534, -0.014416062273085117, -0.006171657238155603, -0.026255039498209953, 0.056118544191122055, 0.028170980513095856, -0.03228805586695671, 0.0027297157794237137, ...
CAMeL-Lab/bert-base-arabic-camelbert-ca
[ "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...
580
2022-05-24T04:29:47Z
--- tags: - conversational --- # Sebastian Michaelis DialoGPT Model
[ -0.04180019721388817, 0.022504888474941254, 0.014278262853622437, 0.01945326291024685, 0.01860676147043705, 0.018034663051366806, -0.005624976474791765, 0.030473798513412476, -0.015627410262823105, 0.01389390416443348, 0.03613584116101265, -0.037647902965545654, 0.014559985138475895, 0.033...
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
32
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward task: type: reinforcement-learning name: reinforc...
[ -0.019737934693694115, -0.018150126561522484, -0.007417323067784309, 0.03465425595641136, 0.049513477832078934, -0.019380489364266396, -0.012065138667821884, -0.013667142018675804, -0.06257934868335724, 0.054861344397068024, -0.004031729884445667, -0.013628652319312096, 0.019898032769560814,...
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
54
2022-05-24T05:25:07Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - amazon_polarity metrics: - accuracy - f1 model-index: - name: SentimentClassifier results: - task: name: Text Classification type: text-classification dataset: name: amazon_polarity type: amazon_polarity args: amazo...
[ -0.022567903622984886, -0.00855342112481594, -0.022831309586763382, 0.055231668055057526, 0.04063769802451134, 0.045209746807813644, -0.004428079351782799, -0.021902594715356827, -0.054761774837970734, 0.05511963367462158, 0.044512394815683365, -0.018762188032269478, 0.01631871983408928, 0...
CAMeL-Lab/bert-base-arabic-camelbert-da-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...
27
null
--- language: - es tags: - Text Classification --- ## language: - es ## tags: - amazon_reviews_multi - Text Clasiffication ### Dataset ![alt text](https://github.com/LuisU0124/IImage-NLP/blob/main/tokenmiz.png?raw=true) ### Example structure review: | review_id (string) | product_id (string) | reviewer...
[ 0.005318337120115757, -0.023709502071142197, 0.0162507276982069, 0.04227367416024208, 0.03358455002307892, 0.009322314523160458, -0.014239768497645855, 0.002412769477814436, -0.03019236959517002, 0.049409374594688416, 0.022799579426646233, -0.013226160779595375, -0.024513771757483482, 0.04...
CAMeL-Lab/bert-base-arabic-camelbert-da
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
449
null
--- tags: - conversational --- # Homer Simpson Chatbot Model
[ -0.030920308083295822, 0.010096428915858269, -0.03209398686885834, 0.03279728814959526, 0.018615184351801872, 0.0174370389431715, -0.015093899331986904, 0.006487028207629919, -0.018642786890268326, 0.043929629027843475, 0.052696824073791504, 0.004506122786551714, 0.010890405625104904, 0.04...
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
2022-05-24T06:13:08Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v1_1000 results: - metrics: - type: mean_reward value: 10.65 +/- 2.37 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: nam...
[ -0.02168905735015869, -0.015048199333250523, -0.00796422827988863, 0.030101999640464783, 0.046317629516124725, -0.0010164101840928197, -0.01755913533270359, 0.0016660853289067745, -0.04238099977374077, 0.057236578315496445, 0.012411207892000675, -0.01314963586628437, 0.010852753184735775, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
63
2022-05-24T06:20:03Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v1_25000 results: - metrics: - type: mean_reward value: 7.56 +/- 2.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: nam...
[ -0.02205057628452778, -0.015285629779100418, -0.00794037152081728, 0.030048595741391182, 0.04622361809015274, -0.0011564154410734773, -0.017117785289883614, 0.0026105130091309547, -0.04246955364942551, 0.05677482485771179, 0.013040694408118725, -0.012257669121026993, 0.01137981005012989, 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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: roberta-base-bne-finetuned-recores-long 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 rem...
[ -0.034339629113674164, 0.005092632956802845, -0.00005468193921842612, 0.020138375461101532, 0.032577380537986755, 0.030126718804240227, -0.002809727331623435, -0.0025217626243829727, -0.04005732387304306, 0.023052673786878586, 0.031926896423101425, -0.027451008558273315, -0.00109599251300096...
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
2022-05-24T06:33:31Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - reviews_with_drift metrics: - accuracy - f1 model-index: - name: distilbert_finetuned_reviews_with_drift results: - task: name: Text Classification type: text-classification dataset: name: reviews_with_drift type: reviews...
[ -0.004617556929588318, 0.008899368345737457, -0.01628948375582695, 0.039979998022317886, 0.03435976058244705, 0.020397771149873734, -0.03825809434056282, -0.014592682011425495, -0.04323605075478554, 0.06034252420067787, 0.061536554247140884, -0.01950867846608162, -0.001818730728700757, 0.0...
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
2022-05-24T06:46:08Z
--- tags: - FrozenLake-v1-4x4 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-Slippery_param2 results: - metrics: - type: mean_reward value: 0.79 +/- 0.41 name: mean_reward task: type: reinforcement-learning name: reinforcement-l...
[ -0.019824637100100517, -0.01835860125720501, -0.003692044410854578, 0.03477047383785248, 0.0499112494289875, -0.018781734630465508, -0.011264722794294357, -0.010339906439185143, -0.06139649450778961, 0.05654474347829819, 0.00007564765837742016, -0.011311113834381104, 0.019483355805277824, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
1,862
null
--- license: mit tags: - generated_from_trainer metrics: - rouge model-index: - name: bart-cnn-pubmed-arxiv-pubmed-v3-e60 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 comme...
[ -0.014678659848868847, -0.013891291804611683, -0.011770552024245262, 0.04859524220228195, 0.026083899661898613, 0.004991854541003704, -0.026400193572044373, -0.02013912796974182, -0.045060720294713974, 0.05060616880655289, 0.020649965852499008, -0.03459479659795761, 0.004281408153474331, 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
2022-05-24T06:55:47Z
--- language: - "ja" tags: - "japanese" - "token-classification" - "pos" - "dependency-parsing" datasets: - "universal_dependencies" license: "cc-by-sa-4.0" pipeline_tag: "token-classification" widget: - text: "国境の長いトンネルを抜けると雪国であった。" --- # deberta-base-japanese-luw-upos ## Model Description This is a DeBERTa(V2) mod...
[ -0.01457451842725277, -0.037876103073358536, -0.00266677956096828, 0.035160381346940994, 0.02719462290406227, 0.04321559518575668, 0.004322276916354895, 0.0003892410022672266, -0.033362407237291336, 0.07801651954650879, 0.008224625140428543, -0.00960476417094469, 0.015762081369757652, 0.04...
CAMeL-Lab/bert-base-arabic-camelbert-mix
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "Arabic", "Dialect", "Egyptian", "Gulf", "Levantine", "Classical Arabic", "MSA", "Modern Standard Arabic", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
20,880
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: codet5-kormath 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. --> # codet5-kormath Thi...
[ -0.029145805165171623, -0.019706564024090767, 0.00493640499189496, 0.014985259622335434, 0.030631080269813538, 0.004027220886200666, -0.0205707810819149, -0.00702730193734169, -0.030330412089824677, 0.04520738124847412, 0.022227326408028603, -0.03389642387628555, 0.004378761164844036, 0.03...
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-madar-twitter5
[ "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...
75
2022-05-24T07:11:52Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bart-base-spelling-de results: [] widget: - text: "ein dransformer isd ein mthode mit der ein compuder eine volge von zeichn übersetz" example_title: "1" - text: "Dresten ist di Landeshaubtstadt des Freistaats Saksens und die zweid größte s...
[ -0.018661746755242348, 0.004324571695178747, -0.004152390174567699, 0.07599298655986786, 0.03251774236559868, 0.06059866026043892, 0.017908645793795586, 0.004792749881744385, -0.0841962918639183, 0.06784205138683319, 0.006700580473989248, -0.016954589635133743, -0.016056343913078308, 0.022...
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
71
null
--- license: mit thumbnail: https://huggingface.co/front/thumbnails/facebook.png pipeline_tag: zero-shot-classification datasets: - multi_nli --- # Clone from [https://huggingface.co/facebook/bart-large-mnli](bart-large-mnli) This is the checkpoint for [bart-large](https://huggingface.co/facebook/bart-large) after be...
[ -0.016712630167603493, -0.0026610770728439093, -0.0037429584190249443, 0.06548120826482773, 0.048199448734521866, 0.022709734737873077, -0.026902655139565468, -0.027276206761598587, -0.0012236871989443898, 0.04777407646179199, 0.01739373989403248, 0.0035969773307442665, 0.013486293144524097,...
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
2022-05-24T09:10:30Z
--- license: mit tags: - generated_from_keras_callback model-index: - name: Clinton/gpt2-finetuned-wikitext2 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. --> # Clinton/...
[ -0.020415937528014183, -0.03187457099556923, -0.010812673717737198, 0.025037871673703194, 0.024586927145719528, 0.011582964099943638, -0.010644109919667244, -0.0030559636652469635, -0.0417097732424736, 0.056927114725112915, 0.01627209037542343, 0.000015999545212252997, 0.03058491088449955, ...
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
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer model-index: - name: lmv2-2022-05-24 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. --> # lmv2-2022-05-2...
[ -0.024220390245318413, -0.0008802625234238803, -0.007900236174464226, 0.01685699261724949, 0.022784167900681496, 0.013967012986540794, -0.020474858582019806, 0.02037915214896202, -0.02688811533153057, 0.05841832607984543, 0.020532524213194847, -0.02742425538599491, 0.018037527799606323, 0....
dccuchile/albert-base-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
25
2022-05-24T09:30:04Z
--- license: mit tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: xlm-roberta-base-language-detection results: [] --- # Clone from [https://huggingface.co/papluca/xlm-roberta-base-language-detection](xlm-roberta-base-language-detection) This model is a fine-tuned version of [xlm-roberta-...
[ -0.031174225732684135, -0.009207673370838165, -0.007653672248125076, 0.04208064451813698, 0.033996228128671646, 0.031428251415491104, -0.00634945509955287, -0.008604577742516994, -0.026165546849370003, 0.0720774456858635, 0.0074123418889939785, -0.04431877285242081, -0.015693463385105133, ...
dccuchile/albert-base-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
3
2022-05-24T09:31:50Z
--- tags: - automatic-speech-recognition - generated_from_trainer license: mit language: - lb metrics: - wer pipeline_tag: automatic-speech-recognition model-index: - name: Lemswasabi/wav2vec2-large-xlsr-53-842h-luxembourgish-14h-with-lm results: - task: type: automatic-speech-recognition # Requi...
[ 0.0023586007300764322, 0.0002720909542404115, -0.012297793291509151, 0.03451957553625107, 0.03807927295565605, 0.01478197705000639, 0.00240822765044868, -0.01881013624370098, -0.04567543417215347, 0.06252557784318924, 0.02252468653023243, -0.0528329499065876, -0.013983315788209438, 0.01181...
dccuchile/albert-tiny-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...
5
2022-05-24T10:08:54Z
KTRONICS - Manufacturer of Wireless Water level Controller, Borewell Automatic Water controller, GSM Based Wireless Controller &amp; Industry Products etc https://ktronics.global/best-water-level-products-chennai-ktronics-buy-now-9043876528
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dccuchile/albert-tiny-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
31
2022-05-24T10:33:18Z
(COMING SOON!) MULTILINGUAL HATECHECK: Functional Tests for Multilingual Hate Speech Detection Models
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dccuchile/albert-xlarge-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
26
2022-05-24T10:40:15Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward task: type: reinforcement-learning name: reinforc...
[ -0.018894236534833908, -0.017997216433286667, -0.007777469698339701, 0.034650884568691254, 0.05038543418049812, -0.017128268256783485, -0.011013532988727093, -0.013354392722249031, -0.06264452636241913, 0.05674329772591591, -0.0031423650216311216, -0.012554384768009186, 0.018728725612163544,...
dccuchile/albert-xlarge-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
24
2022-05-24T10:44:37Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - metrics: - type: mean_reward value: 7.56 +/- 2.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: name: Tax...
[ -0.024500655010342598, -0.015751013532280922, -0.004724841099232435, 0.02840288169682026, 0.04755263030529022, -0.0008667767397128046, -0.019674869254231453, 0.0010096722980961204, -0.04217129573225975, 0.05665438249707222, 0.0117525365203619, -0.012894975952804089, 0.009217292070388794, 0...
dccuchile/albert-xlarge-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...
3
2022-05-24T10:54:53Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue model-index: - name: distilbert-base-uncased-finetuned-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.027691148221492767, 0.010326223447918892, -0.02737809531390667, 0.042518459260463715, 0.07103389501571655, 0.02634209766983986, -0.017605312168598175, -0.023030178621411324, -0.0496126264333725, 0.061063189059495926, 0.03995949402451515, -0.014005891047418118, 0.021047227084636688, 0.03...
dccuchile/albert-xlarge-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
29
2022-05-24T11:00:44Z
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # sent-Roberta-wechsel-tamil This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tas...
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dccuchile/albert-xxlarge-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
26
2022-05-24T11:20:54Z
Looking to get the Best Body massage center in Bangalore? Riverdayspa™ is the Best Body massage center in Bangalore. For More Details Visit us https://www.riverdayspa.com/spa-massage-bangalore/
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dccuchile/albert-xxlarge-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
7
2022-05-24T11:45:52Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - metrics: - type: mean_reward value: 7.56 +/- 2.71 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: name: Tax...
[ -0.022015390917658806, -0.015715980902314186, -0.008621974848210812, 0.030400587245821953, 0.04808051139116287, -0.0001346035860478878, -0.017157331109046936, 0.001525252708233893, -0.044334910809993744, 0.05707739666104317, 0.014681410975754261, -0.012929022312164307, 0.008510328829288483, ...
dccuchile/albert-xxlarge-spanish-finetuned-xnli
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
68
2022-05-24T11:49:08Z
--- language: en widget: - text: "Ending all forms of discrimination against women and girls is not only a basic human right, but it also crucial to accelerating sustainable development. It has been proven time and again, that empowering women and girls has a multiplier effect, and helps drive up economic growth and de...
[ 0.00204828311689198, -0.01767631806433201, -0.007988892495632172, 0.024201856926083565, 0.09817875921726227, 0.020537009462714195, -0.0018760955426841974, -0.008678841404616833, -0.05578787252306938, 0.05599429830908775, 0.006130502093583345, -0.004592929035425186, 0.029689325019717216, 0....
dccuchile/bert-base-spanish-wwm-cased-finetuned-mldoc
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
2022-05-24T12:08:23Z
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8-Slippery results: - metrics: - type: mean_reward value: 0.15 +/- 0.36 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning...
[ -0.0214851014316082, -0.018055034801363945, -0.0032396819442510605, 0.035297974944114685, 0.05234184488654137, -0.01863524504005909, -0.007803014013916254, -0.01228172704577446, -0.060522861778736115, 0.05656057223677635, -0.0008487968589179218, -0.010687747970223427, 0.021036578342318535, ...
dccuchile/bert-base-spanish-wwm-cased-finetuned-pos
[ "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...
1
2022-05-24T12:17:57Z
--- language: es license: apache-2.0 datasets: - common_voice - mozilla-foundation/common_voice_6_0 metrics: - wer - cer tags: - audio - automatic-speech-recognition - es - hf-asr-leaderboard - mozilla-foundation/common_voice_6_0 - robust-speech-event - speech - xlsr-fine-tuning-week model-index: - name: XLSR Wav2Vec2 ...
[ -0.026485512033104897, -0.016656283289194107, -0.006716872099786997, 0.028261370956897736, 0.06511995941400528, 0.013964195735752583, -0.016135120764374733, -0.02435966022312641, -0.02227197214961052, 0.059833839535713196, 0.0170475821942091, -0.033491164445877075, -0.004528298042714596, 0...
dccuchile/bert-base-spanish-wwm-cased-finetuned-xnli
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
2022-05-24T12:40:18Z
--- tags: - espnet - audio - text-to-speech language: - bci datasets: - afrilang-bci license: apache-2.0 metrics: - mos --- ## ESPnet2 TTS model ### `` This model was trained by using recipe in [espnet](https://github.com/espnet/espnet/). ### Demo: How to use in ESPnet2 ```bash cd espnet pip install -e . cd eg...
[ -0.03521745279431343, 0.0020161853171885014, -0.017938299104571342, 0.02355303429067135, 0.06162228807806969, 0.02356722205877304, -0.003933964762836695, 0.011229814030230045, -0.03186848759651184, 0.03388793021440506, -0.005718700587749481, -0.011114225722849369, 0.01015448197722435, 0.03...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-mldoc
[ "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...
39
null
--- license: apache-2.0 --- [Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU). It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU...
[ -0.04746963456273079, -0.016511796042323112, -0.007165215909481049, 0.03403767943382263, 0.013948708772659302, 0.03213571384549141, -0.014979477971792221, -0.015682999044656754, -0.005313046742230654, 0.05483323708176613, 0.011292930692434311, 0.0049119386821985245, 0.020934924483299255, 0...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-ner
[ "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...
5
2022-05-24T12:43:20Z
--- tags: autotrain language: en widget: - text: "I love AutoTrain 🤗" datasets: - ismail-lucifer011/autotrain-data-company_all co2_eq_emissions: 0.848790823793881 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 903429548 - CO2 Emissions (in grams): 0.848790823793881 ## Validation M...
[ -0.02604096010327339, -0.023907605558633804, -0.011213790625333786, 0.02776266075670719, 0.0505109541118145, 0.03843648359179497, -0.026414602994918823, -0.014349970035254955, -0.04477878287434578, 0.07921455055475235, 0.025456242263317108, 0.02514226734638214, 0.0024336467031389475, 0.041...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-pawsx
[ "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...
24
2022-05-24T12:44:15Z
--- tags: autotrain language: en widget: - text: "I love AutoTrain 🤗" datasets: - ismail-lucifer011/autotrain-data-company_all co2_eq_emissions: 119.04546626922827 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 903429540 - CO2 Emissions (in grams): 119.04546626922827 ## Validation...
[ -0.025668516755104065, -0.024283312261104584, -0.011291803792119026, 0.026839153841137886, 0.0495777390897274, 0.03832302615046501, -0.026994766667485237, -0.01509074680507183, -0.04502132534980774, 0.0789768323302269, 0.02650938183069229, 0.02460278384387493, 0.002676509553566575, 0.04116...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-qa-mlqa
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "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_n...
5
null
--- tags: - FrozenLake-v1-8x8-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8-nonSlippery results: - metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward task: type: reinforcement-learning name: reinfor...
[ -0.020889505743980408, -0.017708368599414825, -0.006667383015155792, 0.033987678587436676, 0.052304450422525406, -0.01880970224738121, -0.007495442405343056, -0.014085432514548302, -0.06268640607595444, 0.055680450052022934, -0.004564500879496336, -0.012620777823030949, 0.02023806795477867, ...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-xnli
[ "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...
36
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice model-index: - name: wav2vec2-large-xlsr-persian-v3 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.038961105048656464, -0.020130891352891922, -0.02046438492834568, 0.046236276626586914, 0.046095557510852814, 0.018516739830374718, -0.00011517383245518431, -0.007498298771679401, -0.017388543114066124, 0.04560163989663124, 0.0532357431948185, -0.025176677852869034, 0.005985680036246777, ...
dccuchile/distilbert-base-spanish-uncased-finetuned-ner
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
28
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - metrics: - type: mean_reward value: 1.00 +/- 0.00 name: mean_reward task: type: reinforcement-learning name: reinforc...
[ -0.018469907343387604, -0.01813596487045288, -0.0069977715611457825, 0.03607705235481262, 0.04891413822770119, -0.017442425712943077, -0.014201217330992222, -0.012990792281925678, -0.06461331993341446, 0.05685083568096161, -0.004361478146165609, -0.014671538956463337, 0.019139306619763374, ...
dccuchile/distilbert-base-spanish-uncased-finetuned-pos
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
2022-05-24T13:01:27Z
--- tags: - automatic-speech-recognition - generated_from_trainer license: mit language: - lb metrics: - wer pipeline_tag: automatic-speech-recognition model-index: - name: Lemswasabi/wav2vec2-large-xlsr-53-842h-luxembourgish-11h-with-lm results: - task: type: automatic-speech-recognition # Requi...
[ 0.006834108382463455, 0.001845375169068575, -0.015727203339338303, 0.03399093821644783, 0.04076458886265755, 0.011507825925946236, 0.004072117153555155, -0.017979953438043594, -0.04737936332821846, 0.06193000078201294, 0.021978648379445076, -0.05703172832727432, -0.010366943664848804, 0.01...
dccuchile/distilbert-base-spanish-uncased-finetuned-xnli
[ "pytorch", "distilbert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
31
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice model-index: - name: victor-hg-ptbr-2.0 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment...
[ -0.026157664135098457, -0.005638191942125559, -0.017424777150154114, 0.037537820637226105, 0.03916775807738304, 0.023595726117491722, -0.006610832177102566, -0.003387439763173461, -0.008380657993257046, 0.0368361659348011, 0.0389416441321373, -0.028952581807971, 0.007870997302234173, 0.035...
CennetOguz/distilbert-base-uncased-finetuned-recipe-1
[ "pytorch", "tensorboard", "distilbert", "fill-mask", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
7
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice model-index: - name: satya-matury-asr-task-2-hindidata 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 remo...
[ -0.027889201417565346, -0.022709112614393234, -0.02194732055068016, 0.038893137127161026, 0.05001763254404068, 0.040207382291555405, -0.010117667727172375, 0.004027420189231634, -0.028487591072916985, 0.06729277223348618, 0.04367601126432419, -0.02158372476696968, 0.0083322050049901, 0.033...
CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate-1
[ "pytorch", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
1
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - metrics: - type: mean_reward value: -10.17 +/- 40.27 name: mean_reward task: type: reinforcement-learning name: reinforcement-learning dataset: name: ...
[ -0.01986858993768692, -0.015227390453219414, -0.009060624055564404, 0.03282631188631058, 0.04562487080693245, 0.0007065063691698015, -0.019421564415097237, 0.0009743875707499683, -0.04440629482269287, 0.05651082098484039, 0.01335191261023283, -0.014203442260622978, 0.007853895425796509, 0....
CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate
[ "pytorch", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
7
2022-05-24T13:10:20Z
--- tags: autotrain language: en widget: - text: "I love AutoTrain 🤗" datasets: - ismail-lucifer011/autotrain-data-job_all co2_eq_emissions: 192.68222884611995 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 903929564 - CO2 Emissions (in grams): 192.68222884611995 ## Validation Met...
[ -0.02294614166021347, -0.026718895882368088, -0.014229876920580864, 0.03027062490582466, 0.05003247782588005, 0.03826479986310005, -0.025202032178640366, -0.01846228912472725, -0.04379652440547943, 0.08028745651245117, 0.023807043209671974, 0.027073964476585388, 0.002234208397567272, 0.041...
Chaddmckay/Cdm
[]
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 language: en widget: - text: "I love AutoTrain 🤗" datasets: - ismail-lucifer011/autotrain-data-name_all co2_eq_emissions: 0.527083766435658 --- # Model Trained Using AutoTrain - Problem type: Entity Extraction - Model ID: 904029569 - CO2 Emissions (in grams): 0.527083766435658 ## Validation Metr...
[ -0.02509230747818947, -0.022885575890541077, -0.01523307804018259, 0.03042723797261715, 0.04798060283064842, 0.03799942880868912, -0.024848900735378265, -0.019065966829657555, -0.04393254593014717, 0.07970918715000153, 0.028814969584345818, 0.02592683583498001, 0.0040575554594397545, 0.043...
Chae/botman
[ "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...
5
2022-05-24T13:27:45Z
--- tags: - conversational --- # Twilight Sparkle DialoGPT Model
[ -0.043832991272211075, 0.02119523286819458, 0.012568656355142593, 0.0133369080722332, 0.007493884768337011, 0.009793633595108986, 0.0005061510601080954, 0.03473372757434845, -0.01903402991592884, 0.020880836993455887, 0.03405530005693436, -0.03501720353960991, 0.009329217486083508, 0.03040...
Chaewon/mnmt_decoder_en
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - common_voice model-index: - name: wav2vec2-large-xls-hun-53h-colab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remov...
[ -0.03886958584189415, -0.0018623536452651024, -0.019317151978611946, 0.040529459714889526, 0.04808477684855461, 0.017081206664443016, -0.013573015108704567, -0.00928659550845623, -0.009726297110319138, 0.03301559016108513, 0.028709912672638893, -0.01575901173055172, 0.003757042810320854, 0...