modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
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BigSalmon/InformalToFormalLincoln24
[ "pytorch", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: apache-2.0 language: - en - es - it - fr metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is...
[ -0.0258922278881073, -0.03326098993420601, -0.006075181532651186, 0.05697651579976082, 0.04549682140350342, 0.03381442651152611, -0.012904983945190907, -0.02527908980846405, -0.019290998578071594, 0.04957501217722893, 0.02190784364938736, -0.013589327223598957, 0.014988102950155735, 0.0468...
BigSalmon/Points
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: t5-base-finetuned-arxiv2 results: [] pipeline_tag: summarization --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove th...
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Bimal/my_bot_model
[ "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
Flowers Miley Cyrus We were good, we were gold Kind of dream that can't be sold We were right, 'til we weren't Built a home and watched it burn Mm, I didn't wanna leave you, I didn't wanna lie Started to cry, but then remembered, I I can buy myself flowers Write my name in the sand Talk to myself for hours Say things ...
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Blabla/Pipipopo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi_v3-version2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56...
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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
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
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BlindMan820/Sarcastic-News-Headlines
[ "pytorch", "distilbert", "text-classification", "English", "dataset:Kaggle Dataset", "transformers", "Text", "Sequence-Classification", "Sarcasm", "DistilBert" ]
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, ...
28
null
--- tags: - generated_from_trainer model-index: - name: CV11_finetuning1 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. --> # CV11_finetuning1 This model is a fine...
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Bloodwarrior/Chikfalay
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en pipeline_tag: text-generation --- GPT-J-6B Model Finetuned on summarized clinical notes dataset. Input: Clinical Notes/Discharge Summary -> Output: Summarization w/ Pertinent Information
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BlueGamerBeast/DialoGPT-small-Morgana
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-pixel-copter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
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Broadus20/DialoGPT-small-joshua
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.019371498376131058, -0.015306501649320126, -0.006106434855610132, 0.025362564250826836, 0.04786163195967674, -0.0003988156095147133, -0.018867406994104385, 0.006362437270581722, -0.0368042066693306, 0.056161701679229736, 0.01794317550957203, -0.008298775181174278, 0.01160109881311655, 0...
Brykee/BrykeeBot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: flan-t5-large-da-multiwoz2.0_80-new results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> #...
[ -0.03580086678266525, -0.014864209108054638, -0.011958139017224312, 0.048245105892419815, 0.04209848493337631, 0.003753428114578128, -0.007184030953794718, -0.014394355937838554, -0.019053999334573746, 0.040565457195043564, 0.04377760738134384, -0.010628902353346348, -0.012286149896681309, ...
BumBelDumBel/ZORK_AI_SCIFI
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer" ]
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...
14
2023-03-07T06:15:55Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
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Buntan/bert-finetuned-ner
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
8
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037472739815711975, -0.0031078592874109745, -0.005167901981621981, 0.025708209723234177, 0.045146241784095764, -0.021145571023225784, -0.005612267181277275, -0.02791685424745083, -0.033509667962789536, 0.06666181981563568, 0.03262963518500328, -0.023436283692717552, 0.022782228887081146, ...
Buntan/xlm-roberta-base-finetuned-marc-en
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-07T06:20:08Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3-001 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.44 +/- 2....
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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
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
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CALM/backup
[ "lean_albert", "transformers" ]
null
{ "architectures": [ "LeanAlbertForPretraining", "LeanAlbertForTokenClassification", "LeanAlbertForSequenceClassification" ], "model_type": "lean_albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "len...
4
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
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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
2023-03-07T06:27:58Z
--- license: openrail datasets: - stanfordnlp/SHP - Nerfgun3/bad_prompt language: - en - ga metrics: - bertscore library_name: allennlp pipeline_tag: text-classification ---
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CAMeL-Lab/bert-base-arabic-camelbert-ca-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
42
null
--- license: apache-2.0 datasets: - competitions/aiornot metrics: - accuracy ---
[ -0.02325708605349064, -0.008516420610249043, -0.015443919226527214, -0.010080446489155293, 0.05026375874876976, -0.027049830183386803, -0.008232422173023224, 0.0011239515151828527, -0.05464101955294609, 0.03385346382856369, 0.027887292206287384, 0.009964014403522015, 0.03105839714407921, 0...
CAMeL-Lab/bert-base-arabic-camelbert-ca-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...
73
null
--- datasets: - IlyaGusev/habr - Den4ikAI/russian_instructions - wiki_qa inference: parameters: max_new_tokens: 32 temperature: 1 top_k: 50 top_p: 0.7 do_sample: true license: apache-2.0 language: - en pipeline_tag: text-generation widget: - text: Чем отличается лось от ежа? example_title: Quest...
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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
2023-03-07T06:49:20Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
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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
2023-03-07T07:03:09Z
## A new version of this model was released: **[The_Owl_Characters_V2](https://huggingface.co/Jartemio/The_Owl_Characters_V2)** ## License This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies: 1. You can'...
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6
[ "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...
34
2023-03-07T07:03:53Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
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CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
855
null
--- license: mit --- ### ahx-model-14 on Stable Diffusion This is the `<ahx-model-14>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.i...
[ -0.03255926072597504, -0.027528811246156693, -0.033222876489162445, 0.04512373358011246, 0.009924034588038921, 0.0195678249001503, -0.0009149198303930461, -0.00649036793038249, -0.03042679838836193, 0.04495135694742203, -0.008189828135073185, -0.012403230182826519, 0.030283860862255096, 0....
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
null
--- datasets: - glue language: - ja --- using 'bert-base-cased' model, do text classification.
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CAMeL-Lab/bert-base-arabic-camelbert-msa-eighth
[ "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...
21
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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CAMeL-Lab/bert-base-arabic-camelbert-msa-half
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: ppo results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03908255696296692, -0.002399479504674673, -0.003095712512731552, 0.026679247617721558, 0.043302666395902634, -0.02043895795941353, -0.007140480913221836, -0.02873823046684265, -0.03312665969133377, 0.06912510097026825, 0.03493066504597664, -0.021379996091127396, 0.020660556852817535, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
133
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03782584145665169, -0.003284650621935725, -0.00545524712651968, 0.02586630918085575, 0.04584435746073723, -0.021015511825680733, -0.005443497095257044, -0.027248704805970192, -0.03254396840929985, 0.06635000556707382, 0.03143896907567978, -0.023229947313666344, 0.023321878165006638, 0.0...
CLAck/indo-mixed
[ "pytorch", "marian", "text2text-generation", "en", "id", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
15
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.03988921642303467, -0.016838064417243004, -0.015489273704588413, 0.037238702178001404, 0.04849087446928024, -0.004916099831461906, -0.013807469978928566, -0.024550985544919968, -0.03082282468676567, 0.05358366668224335, 0.02215580642223358, -0.03200941160321236, 0.018252847716212273, 0....
CLAck/indo-pure
[ "pytorch", "marian", "text2text-generation", "en", "id", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
4
null
--- license: mit tags: - generated_from_trainer datasets: - lg-ner metrics: - precision - recall - f1 - accuracy model-index: - name: luganda-ner-v2 results: - task: name: Token Classification type: token-classification dataset: name: lg-ner type: lg-ner config: lug split: te...
[ 0.00039807494613341987, -0.0017855517799034715, -0.003166417358443141, 0.027637409046292305, 0.03439204394817352, 0.021725893020629883, -0.01809251680970192, -0.03343365341424942, -0.03685590997338295, 0.05881865322589874, 0.03409780189394951, -0.0361308753490448, 0.0025651478208601475, 0....
CLAck/vi-en
[ "pytorch", "marian", "text2text-generation", "en", "vi", "dataset:ALT", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- license: cc-by-4.0 metrics: - bleu4 - meteor - rouge-l - bertscore - moverscore language: ja datasets: - lmqg/qg_jaquad pipeline_tag: text2text-generation tags: - question answering widget: - text: "question: 新型車両として6000系が構想されたのは、製造費用のほか、どんな費用を抑えるためだったの?, context: 三多摩地区開発による沿線人口の増加、相模原線延伸による多摩ニュータウン乗り入れ、都営地下鉄10号線(...
[ 0.024745028465986252, -0.01608661189675331, -0.026395484805107117, 0.03550681471824646, 0.04139232262969017, -0.009945047087967396, -0.020209217444062233, -0.014950063079595566, -0.05973149836063385, 0.042019814252853394, 0.002827380085363984, -0.0008668341906741261, 0.008355777710676193, ...
CLTL/icf-levels-enr
[ "pytorch", "roberta", "text-classification", "nl", "transformers", "license:mit" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
30
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3_v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.52 +/- 2.7...
[ -0.012346855364739895, -0.014903821051120758, -0.007280681282281876, 0.02720806561410427, 0.046004682779312134, 0.0028917198069393635, -0.019134467467665672, 0.0074987453408539295, -0.033258888870477676, 0.054625123739242554, 0.02069593034684658, -0.006816190667450428, 0.011286422610282898, ...
Cameron/BERT-eec-emotion
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
36
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: distilbert-base-uncased-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conl...
[ -0.0029283438343554735, 0.017923593521118164, -0.03624824434518814, 0.03604196012020111, 0.05079168453812599, 0.017059221863746643, -0.029367132112383842, -0.04145041108131409, -0.03899833559989929, 0.06374113261699677, 0.036496520042419434, -0.024307025596499443, 0.01419314555823803, 0.03...
Canadiancaleb/DialoGPT-small-jesse
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion config: split...
[ -0.010247585363686085, 0.01104725245386362, -0.028201768174767494, 0.03726877272129059, 0.06144046410918236, 0.03218900412321091, -0.0229028407484293, -0.03624463081359863, -0.03295145928859711, 0.057125210762023926, 0.019006652757525444, -0.04558853432536125, 0.034491438418626785, 0.04472...
Canadiancaleb/DialoGPT-small-walter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
null
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.04542673006653786, -0.0016776950797066092, -0.02234240062534809, 0.032388269901275635, 0.04392532631754875, 0.018217749893665314, -0.018279023468494415, -0.030454933643341064, -0.03704794868826866, 0.06939441710710526, 0.02214505337178707, 0.0029461609665304422, 0.015185575000941753, 0....
Canadiancaleb/jessebot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: cc datasets: - animelover/danbooru2022 - KBlueLeaf/Danbooru2021-SQLite language: - en metrics: - accuracy - character pipeline_tag: image-classification tags: - danbooru - anime --- # Deep Danbooru Models This repository contains the models used in the [Danbooru](https://danbooru.donmai.us). https://git...
[ -0.03231712058186531, 0.0035882603842765093, 0.015508712269365788, 0.05105634406208992, 0.04206957295536995, -0.0198422372341156, -0.007016041316092014, -0.020834537222981453, -0.021582596004009247, 0.05710712447762489, 0.046294957399368286, 0.004799854010343552, 0.023205289617180824, 0.04...
Capreolus/birch-bert-large-mb
[ "pytorch", "tf", "jax", "bert", "next-sentence-prediction", "transformers" ]
null
{ "architectures": [ "BertForNextSentencePrediction" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
1
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: distilbert-base-uncased-finetuned-qnli 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...
[ -0.02024943009018898, 0.014334829524159431, -0.03199160099029541, 0.038923460990190506, 0.05133610963821411, 0.01413733046501875, -0.012524907477200031, -0.024252064526081085, -0.05199580639600754, 0.055255673825740814, 0.016734076663851738, -0.03659090772271156, 0.018949981778860092, 0.04...
Captain272/lstm
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - simplification - generated_from_trainer metrics: - bleu model-index: - name: mbart-simplification 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...
[ -0.037121813744306564, -0.0035006902180612087, -0.019181527197360992, 0.046078842133283615, 0.018155943602323532, 0.019091643393039703, -0.027079356834292412, -0.0021865416783839464, -0.03902159631252289, 0.0626056045293808, 0.02993062511086464, -0.026453860104084015, 0.021122992038726807, ...
CarlosPR/mt5-spanish-memmories-analysis
[ "pytorch", "mt5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
7
null
--- license: creativeml-openrail-m base_model: /home/mobile360/data/lucien/model/diffusers/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - https://huggingface.co/lluu/pokemon-lora These are LoRA adap...
[ -0.026278534904122353, -0.011827622540295124, -0.019910791888833046, 0.021968049928545952, 0.044669345021247864, -0.014178837649524212, 0.0023203734308481216, -0.01827067695558071, -0.008052116259932518, 0.06126482039690018, 0.024041172116994858, -0.024962466210126877, 0.012494371272623539, ...
dccuchile/albert-base-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
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02060951478779316, -0.005963734816759825, 0.010332447476685047, 0.038828134536743164, 0.03186114504933357, 0.014546195976436138, -0.02881179377436638, -0.0162909347563982, -0.01613548770546913, 0.06100691482424736, 0.0066034747287631035, 0.0008301793714053929, 0.008380867540836334, 0.02...
dccuchile/albert-base-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...
28
null
Access to model multimodalart/test5 is restricted and you are not in the authorized list. Visit https://huggingface.co/multimodalart/test5 to ask for access.
[ -0.023137187585234642, -0.024008404463529587, 0.015327350236475468, 0.01932394690811634, 0.03592278063297272, 0.01950385980308056, -0.018231002613902092, -0.03200670704245567, -0.022600803524255753, 0.03413292020559311, 0.050706811249256134, -0.011174364015460014, 0.0025975489988923073, 0....
dccuchile/albert-tiny-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...
32
null
--- license: other tags: - generated_from_trainer model-index: - name: segment_test 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. --> # segment_test This model is...
[ -0.03197309374809265, -0.01782354526221752, -0.019017888233065605, 0.029987337067723274, 0.032017000019550323, 0.016386907547712326, -0.010292362421751022, -0.007469732314348221, -0.0489625483751297, 0.0607672743499279, 0.018754489719867706, -0.014637541025876999, 0.00973465759307146, 0.03...
dccuchile/albert-tiny-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.019100284203886986, -0.013105672784149647, -0.011731158941984177, 0.024564102292060852, 0.04780047386884689, 0.002588201081380248, -0.016207557171583176, 0.007609879598021507, -0.03868754208087921, 0.054883480072021484, 0.019888538867235184, -0.010012085549533367, 0.01056434866040945, 0...
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
null
--- tags: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain 🤗" datasets: - lucafrost/autotrain-data-claimcoherence-lf co2_eq_emissions: emissions: 0.5905299701991715 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 39443102994 - CO2 Emissions (i...
[ -0.019707344472408295, -0.027324752882122993, -0.007664575707167387, 0.0389321967959404, 0.042021747678518295, 0.023999927565455437, -0.0370076447725296, -0.010802934877574444, -0.04524479806423187, 0.07570646703243256, 0.025352340191602707, 0.022254599258303642, -0.007096456829458475, 0.0...
dccuchile/albert-xlarge-spanish-finetuned-mldoc
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
26
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- Comparison: ![hugginfface.png](https://s3.amazonaws.com/moonup/production/uploads/1678262484212-6305c52a41bf1fbadae801c3.png) Sample pictures of this concept: More detailed samples will be uploaded this month. in my free time. and comparis...
[ -0.013029813766479492, -0.03267117589712143, -0.018352461978793144, 0.025697095319628716, 0.027446744963526726, 0.0011177121195942163, 0.0064390879124403, -0.012570115737617016, 0.005879854317754507, 0.03734030947089195, 0.05021611228585243, -0.001471542869694531, 0.03060232475399971, 0.05...
dccuchile/albert-xlarge-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
24
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.03781186044216156, -0.01588272489607334, -0.015415579080581665, 0.03619746118783951, 0.04858295992016792, -0.0043623847886919975, -0.013080031611025333, -0.02524930238723755, -0.03166879713535309, 0.05395715683698654, 0.02245630882680416, -0.03316726163029671, 0.017977561801671982, 0.01...
dccuchile/albert-base-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
586
2023-03-07T11:14:44Z
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049946244806051254, -0.01600431092083454, -0.008278187364339828, 0.03604302927851677, 0.040691275149583817, 0.0026148108299821615, -0.021141860634088516, -0.01041473913937807, -0.03748451545834541, 0.0573849231004715, 0.024493509903550148, -0.0034910249523818493, 0.031923018395900726, 0...
dccuchile/albert-tiny-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
393
null
--- license: apache-2.0 tags: - summarization - generated_from_trainer metrics: - rouge model-index: - name: mt5-small-finetuned-new3 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...
[ -0.01693017967045307, -0.009043612517416477, 0.0045540607534348965, 0.025116492062807083, 0.04313052073121071, -0.000176226778421551, -0.030407734215259552, -0.00951057206839323, -0.026850629597902298, 0.04954972863197327, 0.01734171435236931, -0.029104530811309814, 0.013533174991607666, 0...
dccuchile/albert-xxlarge-spanish
[ "pytorch", "tf", "albert", "pretraining", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA" ]
null
{ "architectures": [ "AlbertForPreTraining" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngr...
42
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.0292340237647295, 0.01823023334145546, 0.003660630900412798, 0.009176398627460003, 0.04400138556957245, -0.01899772323668003, -0.021622175350785255, -0.015784479677677155, -0.029898837208747864, 0.0846095085144043, 0.01731882616877556, -0.008446605876088142, 0.017369555309414864, 0.0164...
dccuchile/bert-base-spanish-wwm-cased-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...
81
2023-03-07T11:22:51Z
--- license: mit tags: - generated_from_trainer datasets: - lg-ner metrics: - precision - recall - f1 - accuracy model-index: - name: luganda-ner-v3 results: - task: name: Token Classification type: token-classification dataset: name: lg-ner type: lg-ner config: lug split: te...
[ -0.0029838017653673887, 0.007477988488972187, 0.0012422687141224742, 0.02854578010737896, 0.04274890199303627, 0.01478506438434124, -0.0200994610786438, -0.04535951465368271, -0.027735790237784386, 0.06034458428621292, 0.03447779640555382, -0.03875178098678589, 0.000169907565577887, 0.0436...
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
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.042621489614248276, -0.00020222087914589792, -0.006530534941703081, 0.05069515481591225, 0.029143908992409706, 0.023321732878684998, -0.024768149480223656, -0.03721199184656143, -0.004837807267904282, 0.04891201853752136, 0.01847541704773903, -0.01143734622746706, 0.021034469828009605, ...
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
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-cartpole results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: me...
[ -0.03222886100411415, 0.019535193219780922, 0.0024984260089695454, 0.006683203391730785, 0.04660936817526817, -0.02115543931722641, -0.023018445819616318, -0.018303709104657173, -0.03514960780739784, 0.0847669467329979, 0.021696604788303375, -0.011133357882499695, 0.01752260886132717, 0.01...
dccuchile/bert-base-spanish-wwm-uncased-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...
5
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03748156130313873, -0.0028699312824755907, -0.005002157762646675, 0.02536020800471306, 0.04574669525027275, -0.02134854905307293, -0.005234808195382357, -0.027488766238093376, -0.03301934897899628, 0.06666450202465057, 0.0322909876704216, -0.023731490597128868, 0.02301102504134178, 0.00...
dccuchile/distilbert-base-spanish-uncased-finetuned-mldoc
[ "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, ...
27
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.01667807810008526, -0.016896722838282585, -0.0057753827422857285, 0.029471227899193764, 0.051009129732847214, -0.017646189779043198, -0.011581025086343288, -0.009950213134288788, -0.05830115079879761, 0.05466366559267044, -0.001397260813973844, -0.008944916538894176, 0.025929482653737068,...
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
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### wasma-agha Dreambooth model trained by Falah with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [fas...
[ -0.015816500410437584, -0.019928837195038795, -0.023621967062354088, 0.029228385537862778, 0.022040192037820816, 0.011745077557861805, 0.01283198781311512, 0.005276539828628302, -0.013355315662920475, 0.04511050879955292, 0.041611310094594955, 0.0024893295485526323, -0.023800628259778023, ...
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
2023-03-07T11:50:48Z
--- license: creativeml-openrail-m pipeline_tag: text-to-image library_name: diffusers tags: - stable-diffusion - stable-diffusion-diffusers --- This is Model Card of "GuchaGucha_Shiki"(ぐちゃぐちゃ式). GuchaGucha_Shiki(GGS) is a Merge Model, that can be used with StableDiffusion-Webui:Automatic1111 and others. Using [Easy...
[ 0.0036755709443241358, -0.010298402048647404, 0.01017854455858469, 0.012639651075005531, 0.04426559433341026, 0.019944244995713234, 0.0016703496221452951, 0.00032399254268966615, -0.030356476083397865, 0.06992968916893005, 0.038521986454725266, -0.0016972559969872236, 0.012873824685811996, ...
dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa
[ "pytorch", "distilbert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "DistilBertForQuestionAnswering" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
5
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-cartpole_2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: ...
[ -0.03220897912979126, 0.017377551645040512, 0.003274929942563176, 0.008478202857077122, 0.04623444005846977, -0.019348856061697006, -0.024244118481874466, -0.017050309106707573, -0.03146133944392204, 0.08523434400558472, 0.02084970287978649, -0.007059415802359581, 0.013499470427632332, 0.0...
dccuchile/distilbert-base-spanish-uncased
[ "pytorch", "distilbert", "fill-mask", "es", "dataset:large_spanish_corpus", "transformers", "spanish", "OpenCENIA", "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...
670
null
--- license: mit --- ### mipizzadel on Stable Diffusion This is the `<pizzadelx>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb)...
[ -0.03766142204403877, -0.03031766600906849, -0.03377082571387291, 0.043115369975566864, -0.0016051643760874867, 0.028595855459570885, 0.004353561904281378, -0.0013381813187152147, -0.027874188497662544, 0.046928368508815765, 0.02137005887925625, -0.008033518679440022, 0.01812654361128807, ...
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
null
--- license: cc-by-4.0 language: eu tags: - bert - basque - euskara --- # ElhBERTeu-medium This is the medium-size version of [ElhBERTeu](https://huggingface.co/orai-nlp/ElhBERTeu) model, the BERT-base for Basque introduced in [BasqueGLUE: A Natural Language Understanding Benchmark for Basque](https://aclanthology.or...
[ 0.0044937473721802235, -0.013327614404261112, -0.008142560720443726, 0.05527013912796974, 0.037590328603982925, 0.018822573125362396, -0.001468050992116332, -0.00596460560336709, -0.02593713067471981, 0.04901609942317009, -0.008848940953612328, -0.044324666261672974, -0.003098471323028207, ...
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
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - recall - precision model-index: - name: norbert2_sentiment_norec_12 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it,...
[ -0.011226712726056576, 0.00517634954303503, -0.018999727442860603, 0.03915926069021225, 0.03776189684867859, -0.0009549374226480722, -0.01897558942437172, -0.040497347712516785, -0.039332468062639236, 0.05481947958469391, 0.02349303662776947, -0.029536690562963486, 0.009432964958250523, 0....
Chaewon/mmnt_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...
12
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.03837841749191284, -0.016868839040398598, -0.015924490988254547, 0.03626018017530441, 0.048922907561063766, -0.005798892583698034, -0.014540099538862705, -0.023678800091147423, -0.03028964251279831, 0.054716963320970535, 0.022438516840338707, -0.031672876328229904, 0.018244890496134758, ...
chainyo/speaker-recognition-meetup
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
1
null
--- tags: - fastai --- # Amazing! 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub! # Some next steps 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))! 2. Create a demo in Gradio or Streamlit u...
[ -0.021706635132431984, -0.033120911568403244, 0.0069284033961594105, 0.022917678579688072, 0.010587208904325962, 0.024608587846159935, -0.02954155206680298, -0.016725419089198112, -0.028829533606767654, 0.032675109803676605, 0.03176262229681015, 0.010438955388963223, 0.04351669177412987, 0...
Chakita/KNUBert
[ "pytorch", "tensorboard", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
20
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.041186101734638214, 0.0011620892910286784, -0.010406781919300556, 0.049157075583934784, 0.031232979148626328, 0.024070216342806816, -0.02765137515962124, -0.03722110018134117, -0.00884504709392786, 0.05158190429210663, 0.017646424472332, -0.011148292571306229, 0.017533738166093826, 0.02...
Chakita/KannadaBERT
[ "pytorch", "roberta", "fill-mask", "transformers", "masked-lm", "fill-in-the-blanks", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
5
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.03590939939022064, 0.001373408013023436, -0.009064284153282642, 0.04932777211070061, 0.02674325928092003, 0.022488007321953773, -0.022601395845413208, -0.03572750464081764, -0.006468140985816717, 0.0514245368540287, 0.018254492431879044, -0.01010702084749937, 0.0195848997682333, 0.02951...
Cheatham/xlm-roberta-large-finetuned4
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
null
--- license: mit widget: - বহুল আলোচিত দশম জাতীয় সংসদ - গাজীপুরের কালিয়াকৈর উপজেলার তেলিরচালা --- Bangla GPT2 model was trained using the Bangla Newspaper dataset. Here we used prothom alo 250mb data for GPT2 model training and also vocab size 50k. Github link : https://github.com/saiful9379/Bangla_GPT2 ```py from ...
[ -0.02163640782237053, -0.027126606553792953, -0.0005692375125363469, 0.06843116879463196, 0.022554513067007065, 0.04144721105694771, 0.025142667815089226, 0.005814623087644577, -0.0333869494497776, 0.056548744440078735, 0.03338894248008728, -0.015210517682135105, 0.009417591616511345, 0.05...
Check/vaw2tmp
[ "tensorboard" ]
null
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0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - cppe-5 model-index: - name: detr-resnet-50_finetuned_cppe5 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this c...
[ -0.01748446561396122, 0.0015662949299439788, -0.005326610058546066, 0.0049176691100001335, 0.038428910076618195, 0.026940014213323593, -0.03276801109313965, -0.012890998274087906, -0.04627785459160805, 0.05186890438199043, 0.040341924875974655, -0.011393142864108086, 0.02063857391476631, 0...
Chester/traffic-rec
[]
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: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
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Chikita1/www_stash_stock
[ "license:bsd-3-clause-clear" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer datasets: - training_corpus model-index: - name: gpt2large-lhm-08 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. --> # gpt2large-...
[ -0.030725115910172462, -0.01786419004201889, -0.0250790324062109, 0.034388381987810135, 0.04340479522943497, 0.016085559502243996, -0.006172145251184702, -0.013801437802612782, -0.018138932064175606, 0.041712455451488495, 0.04408974573016167, -0.005768913310021162, -0.006990448571741581, 0...
Ching/negation_detector
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
9
2023-03-07T13:08:13Z
--- license: apache-2.0 language: - en metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is described in t...
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Chiuchiyin/DialoGPT-small-Donald
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 language: - en metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is described in ...
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Chiuchiyin/Donald
[]
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 language: - en metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is described in t...
[ -0.026684483513236046, -0.03214343637228012, -0.007284251973032951, 0.0585673488676548, 0.04509345814585686, 0.03331495076417923, -0.01213073544204235, -0.025988783687353134, -0.020494939759373665, 0.05099405720829964, 0.02333928272128105, -0.013020649552345276, 0.018287232145667076, 0.047...
ChoboAvenger/DialoGPT-small-DocBot
[]
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: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1_v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - ty...
[ -0.029170874506235123, 0.01754916086792946, 0.0035785899963229895, 0.009198581799864769, 0.04424378648400307, -0.019112402573227882, -0.02146957255899906, -0.01575758494436741, -0.029803339391946793, 0.08440970629453659, 0.016956645995378494, -0.009102923795580864, 0.017900390550494194, 0....
ChrisP/xlm-roberta-base-finetuned-marc-en
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - autotrain - text-classification language: - en widget: - text: "I love AutoTrain 🤗" datasets: - lucafrost/autotrain-data-claimcoherence-n500 co2_eq_emissions: emissions: 0.002315234498119706 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 39483103025 - CO2 Emission...
[ -0.019857976585626602, -0.026462582871317863, -0.007221209350973368, 0.03833385929465294, 0.04113123193383217, 0.023920318111777306, -0.0382964089512825, -0.01043001003563404, -0.04511747509241104, 0.07552894949913025, 0.02430003508925438, 0.02281424216926098, -0.00529483612626791, 0.04242...
ChrisVCB/DialoGPT-medium-cmjs
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: --- ### ntrdttt Dreambooth model trained by DreamyFrog with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-1-512 base model You run your new concept via `diffusers` [Colab No...
[ -0.036841265857219696, -0.023546261712908745, -0.018888147547841072, 0.029327064752578735, 0.02411850355565548, 0.02233281172811985, -0.02781601995229721, -0.014682360924780369, 0.0030642596539109945, 0.04082274064421654, 0.04093335568904877, 0.02013433165848255, -0.026146966964006424, 0.0...
ChristianOrr/madnet_keras
[ "tensorboard", "dataset:flyingthings-3d", "dataset:kitti", "arxiv:1810.05424", "vision", "deep-stereo", "depth-estimation", "Tensorflow2", "Keras", "license:apache-2.0" ]
depth-estimation
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 language: - en - es - it - fr metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is...
[ -0.026021484285593033, -0.03340200334787369, -0.006143562030047178, 0.05684870854020119, 0.04529186338186264, 0.03373259678483009, -0.013088379055261612, -0.02515273354947567, -0.0194197166711092, 0.049616966396570206, 0.021903911605477333, -0.013486715033650398, 0.015051371417939663, 0.04...
ChukSamuels/DialoGPT-small-Dr.FauciBot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
2023-03-07T13:21:02Z
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like cluste...
[ -0.03632119297981262, -0.01704941876232624, -0.017162278294563293, 0.05106724053621292, 0.01151119265705347, 0.04437613859772682, -0.018663978204131126, -0.0026771770790219307, -0.0695725753903389, 0.08319412916898727, 0.03939869627356529, 0.012617562897503376, 0.0022086689714342356, 0.040...
Chun/DialoGPT-medium-dailydialog
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
15
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: my_awesome_asr_mind_model results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -...
[ -0.041512493044137955, -0.013395437970757484, -0.01758476160466671, 0.028560223057866096, 0.02017444744706154, 0.022974899038672447, -0.01184725109487772, -0.008540965616703033, -0.01567564718425274, 0.05954214930534363, 0.0418870747089386, -0.008544939570128918, -0.010812636464834213, 0.0...
Chun/DialoGPT-small-dailydialog
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like cluste...
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Chun/w-en2zh-hsk
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
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Chun/w-en2zh-mtm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- license: apache-2.0 language: - en - es - it - fr metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is...
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Chun/w-en2zh-otm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- license: apache-2.0 language: - en - es - it - fr metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is...
[ -0.02570571005344391, -0.033490195870399475, -0.005965175572782755, 0.056887805461883545, 0.04561055079102516, 0.033239975571632385, -0.013169251382350922, -0.02477841265499592, -0.019364776089787483, 0.04979777708649635, 0.02134844847023487, -0.014163478277623653, 0.015457483008503914, 0....
Chun/w-zh2en-hsk
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: bert-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.019229471683502197, -0.013702251017093658, -0.02202281728386879, 0.04332954064011574, 0.048893243074417114, 0.02830512449145317, -0.037579186260700226, 0.011904940940439701, -0.023754285648465157, 0.03679833933711052, 0.035650789737701416, -0.004908356349915266, 0.027731334790587425, 0....
Chun/w-zh2en-mtm
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- license: apache-2.0 language: - en - es - it - fr metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is...
[ -0.026002682745456696, -0.03331327810883522, -0.006055252160876989, 0.056955888867378235, 0.04532299190759659, 0.033713456243276596, -0.013117942959070206, -0.025069978088140488, -0.01936625875532627, 0.049657754600048065, 0.02170451730489731, -0.013542581349611282, 0.014998216181993484, 0...
Chun/w-zh2en-mto
[ "pytorch", "mbart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MBartForConditionalGeneration" ], "model_type": "mbart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
7
null
--- tags: - conversational --- @ Harry Potter DialoGPT Model
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Chungu424/repo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 language: - en - es - it - fr metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is...
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Chungu424/repodata
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: other tags: - generated_from_trainer model-index: - name: segformer-b0-finetuned-segments-sidewalk-oct-22 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....
[ -0.046224866062402725, -0.013773397542536259, -0.02293890155851841, 0.011574111878871918, 0.025234024971723557, 0.02172981947660446, -0.0026528253220021725, 0.021877113729715347, -0.06476834416389465, 0.056249018758535385, 0.03538328781723976, 0.0008423701510764658, -0.003630818799138069, ...
Ci/Pai
[]
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 language: - en - es - it - fr metrics: - f1 --- # Federated Learning Based Multilingual Emoji Prediction This repository contains code for training and evaluating transformer-based models for Uni/multilingual emoji prediction in clean and attack scenarios using Federated Learning. This work is...
[ -0.025997230783104897, -0.03329047933220863, -0.00607142923399806, 0.0569239966571331, 0.04535932093858719, 0.03382597863674164, -0.013238483108580112, -0.025032678619027138, -0.019657902419567108, 0.04977104067802429, 0.02161248028278351, -0.013740397058427334, 0.014952835626900196, 0.046...
CodeNinja1126/xlm-roberta-large-kor-mrc
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
8
2023-03-07T14:17:24Z
--- license: cc --- - Runtime: https://github.com/libwaifu/waifu-2x - Models: https://huggingface.co/oovm/waifu-2x
[ -0.04793187230825424, -0.03536786884069443, 0.018837839365005493, 0.015595430508255959, 0.01445646584033966, 0.008119995705783367, 0.013665501959621906, 0.011199469678103924, -0.024442771449685097, 0.04142393916845322, 0.02930680848658085, 0.03435907140374184, 0.04527192935347557, 0.039643...
ComCom/gpt2-medium
[ "pytorch", "gpt2", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "GPT2Model" ], "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": nul...
5
null
--- license: mit language: - de metrics: - cer library_name: transformers tags: - kurrent - ocr - htr - 16th century - 17th century - 18th century - trocr --- # TrOCR Kurrent-Model 16th to 18th century Base model: **dh-unibe/trocr-kurrent** Epochs: 19.85 / 20 Eval CER: 0.05673 Test CER: 0.05416 This model is ...
[ 0.024718470871448517, -0.042865972965955734, -0.030383402481675148, 0.05733643099665642, 0.0331435389816761, 0.03659793734550476, -0.003426091279834509, -0.017617281526327133, -0.05581948906183243, 0.05927712470293045, 0.03202791512012482, -0.02194368466734886, -0.022670524194836617, 0.023...
Cometasonmi451/Mine
[]
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: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03189309686422348, -0.002915733028203249, -0.020321806892752647, 0.05129334703087807, 0.0396302305161953, 0.025726770982146263, -0.0013198083033785224, -0.035727109760046005, -0.029145177453756332, 0.04844972863793373, 0.02361367642879486, -0.0052227480337023735, 0.02060825005173683, 0....
CrayonShinchan/bart_fine_tune_test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.03949064388871193, 0.0004544933035504073, -0.007759661413729191, 0.04728541523218155, 0.02921656332910061, 0.02381807006895542, -0.025065835565328598, -0.034583840519189835, -0.005826795473694801, 0.05035744979977608, 0.018513726070523262, -0.009855750016868114, 0.020875168964266777, 0....
CurtisBowser/DialoGPT-medium-sora-two
[ "pytorch", "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 --- # OFA-tiny ## Introduction This is the **tiny** version of OFA pretrained model finetuned on vqaV2. The directory includes 4 files, namely `config.json` which consists of model configuration, `vocab.json` and `merge.txt` for our OFA tokenizer, and lastly `pytorch_model.bin` which consist...
[ -0.014468096196651459, -0.03897128999233246, 0.020566301420331, 0.030217191204428673, 0.03232820704579353, -0.015217593871057034, 0.017193151637911797, 0.022207751870155334, -0.03558744117617607, 0.04194798693060875, 0.026445625349879265, -0.01000579446554184, 0.00867140106856823, 0.070432...
D3xter1922/distilbert-base-uncased-finetuned-cola
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-03-07T16:28:24Z
--- tags: - fastai --- # Amazing! 🥳 Congratulations on hosting your fastai model on the Hugging Face Hub! # Some next steps 1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))! 2. Create a demo in Gradio or Streamlit u...
[ -0.021706635132431984, -0.033120911568403244, 0.0069284033961594105, 0.022917678579688072, 0.010587208904325962, 0.024608587846159935, -0.02954155206680298, -0.016725419089198112, -0.028829533606767654, 0.032675109803676605, 0.03176262229681015, 0.010438955388963223, 0.04351669177412987, 0...
DARKVIP3R/DialoGPT-medium-Anakin
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
2023-03-07T16:38:27Z
--- datasets: - justinian336/salvadoran-news language: - es metrics: - rouge pipeline_tag: summarization ---
[ -0.018651768565177917, -0.01593811623752117, 0.016946395859122276, 0.007925970479846, 0.08493075519800186, -0.0031018538866192102, -0.02290697582066059, 0.024309668689966202, -0.03547877073287964, 0.05029977858066559, 0.014032306149601936, -0.0010045947274193168, -0.005732441786676645, 0.0...
DSI/personal_sentiment
[ "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...
25
2023-03-07T16:58:29Z
--- language: en thumbnail: http://www.huggingtweets.com/ipsd204/1678219365994/predictions.png 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: 4px; width: ...
[ 0.007006360683590174, -0.039640750735998154, -0.007576050702482462, 0.05613148584961891, 0.04978393390774727, 0.0038388767279684544, -0.018671110272407532, -0.009089739061892033, -0.04228266701102257, 0.037239592522382736, 0.007564034312963486, -0.009249815717339516, -0.013493151403963566, ...
DTAI-KULeuven/robbertje-1-gb-bort
[ "pytorch", "roberta", "fill-mask", "nl", "dataset:oscar", "dataset:oscar (NL)", "dataset:dbrd", "dataset:lassy-ud", "dataset:europarl-mono", "dataset:conll2002", "arxiv:2101.05716", "transformers", "Dutch", "Flemish", "RoBERTa", "RobBERT", "RobBERTje", "license:mit", "autotrain_c...
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
6
null
--- tags: - DemonAttack-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: DemonAttack-v5 type: DemonAttack-v5 metri...
[ -0.03292647376656532, -0.006300865672528744, -0.010639630258083344, 0.032478250563144684, 0.042638521641492844, -0.007308440748602152, -0.011168771423399448, -0.021308105438947678, -0.03020465187728405, 0.07099062204360962, 0.0383477546274662, -0.009042779915034771, -0.002204876160249114, ...
DTAI-KULeuven/robbertje-1-gb-non-shuffled
[ "pytorch", "roberta", "fill-mask", "nl", "dataset:oscar", "dataset:dbrd", "dataset:lassy-ud", "dataset:europarl-mono", "dataset:conll2002", "arxiv:2101.05716", "transformers", "Dutch", "Flemish", "RoBERTa", "RobBERT", "RobBERTje", "license:mit", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
53
null
--- tags: - Asterix-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Asterix-v5 type: Asterix-v5 metrics: - ty...
[ 0.0013157917419448495, -0.008667653426527977, -0.008107400499284267, 0.03603339195251465, 0.036442261189222336, -0.001981802051886916, -0.02554294280707836, -0.02516644075512886, -0.03252625837922096, 0.06592226028442383, 0.011280689388513565, -0.013285402208566666, -0.011573138646781445, ...
alexandrainst/da-binary-emotion-classification-base
[ "pytorch", "tf", "safetensors", "bert", "text-classification", "da", "transformers", "license:cc-by-sa-4.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
1,066
null
--- tags: - Asterix-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Asterix-v5 type: Asterix-v5 metrics: - ty...
[ 0.0017455877969041467, -0.009615723043680191, -0.007970834150910378, 0.03678774833679199, 0.036944787949323654, -0.0020479627419263124, -0.025731706991791725, -0.025594113394618034, -0.03287569433450699, 0.0654699057340622, 0.01058963406831026, -0.013596830889582634, -0.01156666874885559, ...
alexandrainst/da-hatespeech-classification-base
[ "pytorch", "tf", "safetensors", "bert", "text-classification", "da", "transformers", "license:cc-by-sa-4.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
866
null
--- tags: - DoubleDunk-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: DoubleDunk-v5 type: DoubleDunk-v5 metrics:...
[ -0.019421160221099854, -0.00146760034840554, 0.008015678264200687, 0.024156479164958, 0.03661135584115982, -0.0197665523737669, -0.0011592634255066514, -0.027280481532216072, -0.024410072714090347, 0.05323213338851929, 0.018347054719924927, -0.017249660566449165, 0.004425705876201391, 0.02...
alexandrainst/da-ner-base
[ "pytorch", "tf", "bert", "token-classification", "da", "dataset:dane", "transformers", "license:cc-by-sa-4.0", "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...
78
null
--- tags: - Atlantis-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Atlantis-v5 type: Atlantis-v5 metrics: -...
[ -0.03415756672620773, -0.01341294962912798, -0.015446136705577374, 0.030671024695038795, 0.02738839015364647, -0.0019536092877388, -0.030744800344109535, -0.02321213111281395, -0.012719777412712574, 0.057004328817129135, 0.03143830597400665, -0.01470076385885477, -0.0033830199390649796, 0....
alexandrainst/da-subjectivivity-classification-base
[ "pytorch", "tf", "safetensors", "bert", "text-classification", "da", "dataset:DDSC/twitter-sent", "dataset:DDSC/europarl", "transformers", "license:cc-by-sa-4.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
846
null
--- tags: - Atlantis-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Atlantis-v5 type: Atlantis-v5 metrics: -...
[ -0.03467671573162079, -0.013596056960523129, -0.015403587371110916, 0.03067050687968731, 0.027255088090896606, -0.002192841377109289, -0.030525844544172287, -0.023349586874246597, -0.012552144937217236, 0.056822728365659714, 0.030960096046328545, -0.014532186090946198, -0.00320579600520432, ...
alexandrainst/da-hatespeech-detection-small
[ "pytorch", "electra", "text-classification", "da", "transformers", "license:cc-by-4.0" ]
text-classification
{ "architectures": [ "ElectraForSequenceClassification" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
1,506
null
--- tags: - DoubleDunk-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: DoubleDunk-v5 type: DoubleDunk-v5 metrics:...
[ -0.02005097270011902, -0.0016315641114488244, 0.009060436859726906, 0.024256398901343346, 0.035965584218502045, -0.02011091448366642, -0.0017987826140597463, -0.0277254655957222, -0.02411639131605625, 0.05331295728683472, 0.017528129741549492, -0.01742490939795971, 0.004819981288164854, 0....