modelId
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17 values
config
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downloads
int64
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59.7M
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AnonymousSub/roberta-base_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
Access to model TLLM/bertbase-twcnstyle-entdebias is restricted and you are not in the authorized list. Visit https://huggingface.co/TLLM/bertbase-twcnstyle-entdebias to ask for access.
[ -0.028201790526509285, 0.007159803993999958, -0.01293804682791233, 0.013618662022054195, 0.047425542026758194, 0.03368870168924332, -0.006301659159362316, -0.0000473344734928105, -0.0186005849391222, 0.02506973221898079, 0.017278574407100677, -0.02089698798954487, 0.005714341998100281, 0.0...
AnonymousSub/rule_based_bert_mean_diff_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "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": nul...
3
2023-05-13T10:34:57Z
--- license: bsd-3-clause --- # CodeT5+ 220M ## Model description [CodeT5+](https://github.com/salesforce/CodeT5/tree/main/CodeT5+) is a new family of open code large language models with an encoder-decoder architecture that can flexibly operate in different modes (i.e. _encoder-only_, _decoder-only_, and _encoder-d...
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AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "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": nul...
8
null
--- language: en tags: - multivae license: apache-2.0 --- ### Downloading this model from the Hub This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from multivae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_us...
[ -0.03653835132718086, -0.0589064285159111, -0.005368987563997507, 0.005391913000494242, 0.05030456930398941, 0.01870766468346119, -0.006683170795440674, -0.011249218136072159, -0.02457122877240181, 0.02907027117908001, 0.0364757664501667, 0.00390697130933404, 0.03047722764313221, 0.0462388...
AnonymousSub/rule_based_hier_triplet_epochs_1_shard_1_squad2.0
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
2
null
--- license: mit tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: student_offense_distilled_asda_gpt_ok results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.009625204838812351, 0.002423694124445319, -0.022767940536141396, 0.04858943819999695, 0.04158949479460716, -0.005140930414199829, -0.0069193122908473015, -0.010559679009020329, -0.05365152657032013, 0.05461917445063591, 0.01896471530199051, -0.0280953049659729, 0.012596857734024525, 0.0...
AnonymousSub/rule_based_roberta_only_classfn_twostage_epochs_1_shard_1_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
2
null
Trained in 4-bit on pygmalion-6b as POC Uses the GPTeacher roleplay dataset. ``` INFO:Getting model ready... INFO:Prepping for training... INFO:Creating LoRA model... INFO:Starting training... {'loss': 12.5737, 'le...
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AnonymousSub/rule_based_roberta_twostage_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
24
null
--- language: - multilingual - af - am - ar - ast - az - ba - be - bg - bn - br - bs - ca - ceb - cs - cy - da - de - el - en - es - et - fa - ff - fi - fr - fy - ga - gd - gl - gu - ha - he - hi - hr - ht - hu - hy - id - ig - ilo - is - it - ja - jv - ka - kk - km - kn - ko - lb - lg - ln - lo - lt - lv - mg - mk - m...
[ -0.015412044711411, 0.0007626224542036653, -0.005507531110197306, 0.0572308748960495, 0.00989286694675684, 0.042748041450977325, -0.004540922585874796, -0.0032445574179291725, -0.04346218705177307, 0.03132230043411255, 0.008139305748045444, -0.01790717802941799, 0.004008645657449961, 0.009...
AnonymousSub/rule_based_roberta_twostagequadruplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
25
2023-05-13T13:01:28Z
--- language: - multilingual - af - am - ar - ast - az - ba - be - bg - bn - br - bs - ca - ceb - cs - cy - da - de - el - en - es - et - fa - ff - fi - fr - fy - ga - gd - gl - gu - ha - he - hi - hr - ht - hu - hy - id - ig - ilo - is - it - ja - jv - ka - kk - km - kn - ko - lb - lg - ln - lo - lt - lv - mg - mk - m...
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AnonymousSub/rule_based_roberta_twostagetriplet_epochs_1_shard_10
[ "pytorch", "roberta", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "RobertaModel" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
null
--- license: mit tags: - generated_from_trainer datasets: - xtreme metrics: - f1 model-index: - name: xlm-roberta-base-finetuned-panx-de results: - task: name: Token Classification type: token-classification dataset: name: xtreme type: xtreme config: PAN-X.de split: validatio...
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AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
23
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter-v1.0.0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.04069901257753372, 0.015590470284223557, 0.013778232969343662, 0.018344389274716377, 0.048341866582632065, -0.013072680681943893, -0.020126493647694588, -0.022443262860178947, -0.018258893862366676, 0.06907691806554794, 0.035552218556404114, -0.008422508835792542, 0.011988915503025055, ...
AnonymousSub/rule_based_twostage_quadruplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- # Model Card for MYXGRL ## Model Description - **Developed by:** BADMONK - **Model type:** Dreambooth Model + Extracted LoRA - **Language(s) (NLP):** EN - **License:** Creativeml-Openrail-M - **Parent Model:** ChilloutMix ...
[ -0.0639018788933754, -0.014687401242554188, -0.013054175302386284, 0.016895996406674385, 0.050496943295001984, 0.031196705996990204, 0.0040728324092924595, 0.0031574186868965626, -0.0018455727258697152, 0.07193347066640854, 0.06482357531785965, -0.020779240876436234, -0.0245096143335104, 0...
AnonymousSub/rule_based_twostagetriplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
null
--- license: mit tags: - generated_from_trainer model-index: - name: mlm-20230513-indobert-large-p1-002-pt1 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. --> # mlm...
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AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "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": nul...
5
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: aalonso-developer/vit-base-patch16-224-in21k-euroSat results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove th...
[ -0.03536058962345123, -0.015941781923174858, 0.0083515215665102, 0.015798557549715042, 0.032437171787023544, 0.0004418050230015069, -0.019675245508551598, -0.004153263755142689, -0.0207584910094738, 0.04587385430932045, 0.017294660210609436, -0.022927412763237953, 0.030619485303759575, 0.0...
AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
null
--- library_name: ml-agents tags: - Huggy - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (...
[ -0.042072881013154984, -0.0003779746766667813, -0.007567757274955511, 0.04764856398105621, 0.025407351553440094, 0.020592153072357178, -0.02521347999572754, -0.032182954251766205, -0.0028678514063358307, 0.04922874644398689, 0.019511567428708076, -0.014997358433902264, 0.018875163048505783, ...
AnonymousSub/unsup-consert-papers
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "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": nul...
2
2023-05-13T13:48:42Z
--- 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 ...
[ -0.037412744015455246, -0.0028834999538958073, -0.004783685319125652, 0.0255183856934309, 0.04568624123930931, -0.02135785110294819, -0.005731758661568165, -0.027496011927723885, -0.03318069130182266, 0.06635494530200958, 0.032102592289447784, -0.023529576137661934, 0.023195426911115646, 0...
AnonymousSubmission/pretrained-model-1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: kids_phoneme_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. --> # kids_phoneme_mod...
[ -0.050612810999155045, -0.013715074397623539, -0.010616842657327652, 0.03029029630124569, 0.02651945874094963, 0.006539268884807825, -0.007237439975142479, 0.007694751489907503, -0.04457779973745346, 0.052353426814079285, 0.01027223002165556, -0.03745749592781067, 0.02873222716152668, 0.01...
Apisate/Discord-Ai-Bot
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
This is GGML format quantised 4bit and 8bit model of Eric Hartford's 'uncensored' training of Wizard-Vicuna 13B. This version is quantized using older version of llama.cpp (cf348a6) so it can be used with oobabooga/text-generation-webui.
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ArBert/bert-base-uncased-finetuned-ner-gmm
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en tags: - feature-extraction - sentence-similarity datasets: - biu-nlp/abstract-sim widgets: - sentence-similarity - feature-extraction --- A model for mapping abstract sentence descriptions to sentences that fit the descriptions. Trained on Wikipedia. Use ```load_finetuned_model``` to load the query ...
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Araby/Arabic-TTS
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: islamic_qa 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. --> # islamic_qa This model i...
[ 0.0035265919286757708, -0.008731060661375523, -0.007836520671844482, 0.03738868236541748, 0.03359994664788246, -0.007956036366522312, 0.001037685084156692, 0.012092025019228458, -0.04476572945713997, 0.05037359893321991, 0.004392198286950588, -0.027073372155427933, 0.013853201642632484, 0....
ArashEsk95/bert-base-uncased-finetuned-stsb
[]
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: - vision - image-segmentation - generated_from_trainer model-index: - name: segformer-b0-finetuned-segments-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 r...
[ -0.024702060967683792, -0.02900725230574608, -0.017170896753668785, 0.01822063885629177, 0.03139902278780937, 0.031637273728847504, -0.01889193430542946, 0.0014160012360662222, -0.04245150461792946, 0.054858170449733734, 0.03895889222621918, 0.0002924858417827636, 0.002691474976018071, 0.0...
ArjunKadya/HuggingFace
[]
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: - image-classification - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: finetuned-indian-food results: - task: name: Image Classification type: image-classification dataset: name: indian_food_images type: imagefolder ...
[ 0.0050435494631528854, -0.0005857297801412642, 0.008500891737639904, 0.025510335341095924, 0.03224154934287071, -0.01094120368361473, -0.009129930287599564, 0.009097051806747913, -0.0017788726836442947, 0.05149760842323303, 0.026054533198475838, -0.021459093317389488, 0.01507242675870657, ...
Arpita/opus-mt-en-ro-finetuned-syn-to-react
[ "pytorch", "tensorboard", "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...
9
null
--- language: en tags: - multivae license: apache-2.0 --- ### Downloading this model from the Hub This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from multivae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_us...
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Arpita/opus-mt-en-ro-finetuned-synthon-to-reactant
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail tags: - document-image-binarization - image-segmentation - generated_from_trainer model-index: - name: binarization-segformer-b3 results: [] pipeline_tag: image-segmentation --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You sho...
[ -0.03450368344783783, -0.022462287917733192, -0.012458673678338528, 0.04255242273211479, 0.044871941208839417, 0.0011167804477736354, -0.0035572496708482504, 0.014488966204226017, -0.04384302720427513, 0.055580828338861465, 0.03530902788043022, 0.00506053538993001, -0.020394349470734596, 0...
ArthurBaia/bert-base-portuguese-cased-finetuned-squad
[]
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 tags: - multivae license: apache-2.0 --- ### Downloading this model from the Hub This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from multivae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_us...
[ -0.03653836250305176, -0.05890641734004021, -0.005368984304368496, 0.0053918748162686825, 0.05030454322695732, 0.018707657232880592, -0.006683169864118099, -0.011249225586652756, -0.024571208283305168, 0.029070278629660606, 0.036475762724876404, 0.003906991798430681, 0.030477210879325867, ...
Aruden/DialoGPT-medium-harrypotterall
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
6
null
--- language: en tags: - multivae license: apache-2.0 --- ### Downloading this model from the Hub This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from multivae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_us...
[ -0.03653836250305176, -0.05890641734004021, -0.005368984304368496, 0.0053918748162686825, 0.05030454322695732, 0.018707657232880592, -0.006683169864118099, -0.011249225586652756, -0.024571208283305168, 0.029070278629660606, 0.036475762724876404, 0.003906991798430681, 0.030477210879325867, ...
ArvinZhuang/BiTAG-t5-large
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
4
2023-05-13T16:35:40Z
--- language: en tags: - multivae license: apache-2.0 --- ### Downloading this model from the Hub This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from multivae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_us...
[ -0.03653836250305176, -0.05890641734004021, -0.005368984304368496, 0.0053918748162686825, 0.05030454322695732, 0.018707657232880592, -0.006683169864118099, -0.011249225586652756, -0.024571208283305168, 0.029070278629660606, 0.036475762724876404, 0.003906991798430681, 0.030477210879325867, ...
AryanLala/autonlp-Scientific_Title_Generator-34558227
[ "pytorch", "pegasus", "text2text-generation", "en", "dataset:AryanLala/autonlp-data-Scientific_Title_Generator", "transformers", "autonlp", "co2_eq_emissions", "autotrain_compatible", "has_space" ]
text2text-generation
{ "architectures": [ "PegasusForConditionalGeneration" ], "model_type": "pegasus", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "n...
103
2023-05-13T16:37:49Z
--- 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...
[ -0.021706657484173775, -0.03312091901898384, 0.006928392685949802, 0.022917693480849266, 0.01058720238506794, 0.02460860274732113, -0.029541553929448128, -0.016725407913327217, -0.028829503804445267, 0.032675113528966904, 0.03176262974739075, 0.010438943281769753, 0.04351670667529106, 0.02...
Ashagi/Ashvx
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-05-13T16:40:34Z
--- language: en tags: - multivae license: apache-2.0 --- ### Downloading this model from the Hub This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from multivae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_us...
[ -0.03653835132718086, -0.0589064285159111, -0.005368987563997507, 0.005391913000494242, 0.05030456930398941, 0.01870766468346119, -0.006683170795440674, -0.011249218136072159, -0.02457122877240181, 0.02907027117908001, 0.0364757664501667, 0.00390697130933404, 0.03047722764313221, 0.0462388...
AshiNLP/Bert_model
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Access to model Wilhelmus/GraphicalDiffusion is restricted and you are not in the authorized list. Visit https://huggingface.co/Wilhelmus/GraphicalDiffusion to ask for access.
[ -0.021275781095027924, -0.004910349380224943, -0.00709951389580965, 0.010734853334724903, 0.038966212421655655, 0.03278922662138939, 0.005056212190538645, 0.013316812925040722, -0.02988502010703087, 0.049132831394672394, 0.045937493443489075, -0.017007913440465927, -0.007016991730779409, 0...
Atchuth/DialoGPT-small-MBOT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-05-13T16:55:33Z
--- license: mit tags: - generated_from_trainer model-index: - name: peft-prefix-jul 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. --> # peft-prefix-jul This mode...
[ -0.0416729636490345, 0.011280919425189495, -0.008017346262931824, 0.021623898297548294, 0.020296389237046242, 0.02277263067662716, -0.009445452131330967, -0.015176069922745228, -0.04208127036690712, 0.038095079362392426, 0.012627843767404556, -0.034743983298540115, -0.001160747604444623, 0...
Ateeb/EmotionDetector
[ "pytorch", "funnel", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "FunnelForSequenceClassification" ], "model_type": "funnel", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
32
2023-05-13T17:01:35Z
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - RenauxLouis/monet-test These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The ...
[ -0.03083948977291584, -0.01726641319692135, -0.026440126821398735, 0.024185465648770332, 0.042081937193870544, -0.008341346867382526, 0.006350057199597359, -0.0026321974582970142, -0.006479524075984955, 0.06385134905576706, 0.0128172030672431, -0.021817699074745178, -0.0004726615734398365, ...
Augustvember/WokkaBot9
[]
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: - ar license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 metrics: - wer model-index: - name: Whisper_large_v2_arabic results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: ...
[ -0.02709246054291725, -0.0007696943357586861, -0.02113904245197773, 0.06037987768650055, 0.04758215695619583, 0.008824262768030167, -0.003315089037641883, -0.0138613386079669, -0.020543746650218964, 0.07301762700080872, 0.037880655378103256, -0.02531876415014267, -0.007775119040161371, 0.0...
Augustvember/WokkaBotF
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: ml-agents tags: - SnowballTarget - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using the [Unity ML-Agents Library](https://github.com/Unity-Tech...
[ -0.02945195883512497, -0.005361960269510746, -0.01663745939731598, 0.051421284675598145, 0.03574211150407791, 0.0256967730820179, -0.001519939862191677, -0.03480759635567665, -0.026156287640333176, 0.046548258513212204, 0.025422874838113785, -0.009099625051021576, 0.020585155114531517, 0.0...
Augustvember/wokka4
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-05-13T17:43:46Z
--- 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...
[ -0.019683238118886948, -0.017794396728277206, -0.009276626631617546, 0.027315841987729073, 0.046926237642765045, -0.00038205768214538693, -0.018268132582306862, 0.007299159187823534, -0.036876339465379715, 0.05038656294345856, 0.014825837686657906, -0.007917341776192188, 0.012843715026974678...
Aurora/asdawd
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - customized model-index: - name: h34 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. --> # h34 Thi...
[ -0.0446506105363369, -0.01163382176309824, -0.016662796959280968, 0.048411186784505844, 0.02758057788014412, 0.0215094443410635, -0.004780682735145092, -0.02262793481349945, -0.019586382433772087, 0.05163761228322983, 0.046132892370224, -0.015782097354531288, 0.019725847989320755, 0.020019...
Ayham/bertgpt2_cnn
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: creativeml-openrail-m --- https://civitai.com/models/64078/tenjouin-asuka-yu-gi-oh
[ -0.04289279505610466, -0.033388182520866394, 0.0032922509126365185, 0.015108373016119003, 0.035216327756643295, 0.006296902894973755, 0.03852231800556183, 0.001424125861376524, -0.015211437828838825, 0.031202085316181183, 0.03143629804253578, 0.016875755041837692, 0.041096653789281845, 0.0...
Ayham/distilbert_bert_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
11
null
--- license: creativeml-openrail-m --- https://civitai.com/models/64069/kirika-towa-alma-shining-resonance
[ -0.0643966794013977, -0.006003282964229584, 0.021931488066911697, -0.0053027234971523285, 0.028287891298532486, -0.010700459592044353, 0.007263727951794863, 0.015627587214112282, -0.058012668043375015, 0.05642872303724289, 0.048192501068115234, 0.01597546972334385, 0.04219742864370346, 0.0...
Ayham/distilbert_gpt2_summarization_cnndm
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- license: openrail datasets: - OpenAssistant/oasst1 language: - en metrics: - accuracy library_name: nemo pipeline_tag: text-to-image tags: - art --- # Model Card for Model ID <!-- Provide a quick summalleymixary of what the model is/does. --> This modelcard aims to be a base template for new models. It has been ...
[ -0.022566968575119972, -0.0139848031103611, -0.008106894791126251, 0.024729719385504723, 0.04707378149032593, 0.029166270047426224, -0.01746085286140442, -0.013067377731204033, -0.0469992570579052, 0.05451266095042229, 0.020240671932697296, -0.006684699095785618, 0.011905713938176632, 0.04...
Ayham/distilbert_gpt2_summarization_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:xsum", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- license: creativeml-openrail-m --- https://civitai.com/models/64271/natashahonkai-star-rail
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Ayham/distilbert_roberta_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
14
null
--- license: creativeml-openrail-m --- https://civitai.com/models/64385/swiftsure-azur-lane-midsummer-special-service-swimsuit
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Ayham/roberta_bert_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
12
2023-05-13T18:16:58Z
--- license: creativeml-openrail-m --- https://civitai.com/models/64841/miorine-rembran-or-the-witch-from-mercury
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Ayham/roberta_gpt2_new_max64_summarization_cnndm
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
4
null
--- license: creativeml-openrail-m --- https://civitai.com/models/6100/tifa-lockhart-lessall-outfitsgreater-lora
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Ayham/roberta_gpt2_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
31
null
--- license: creativeml-openrail-m --- https://civitai.com/models/65131/yatogami-tohka-date-a-live
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Ayham/roberta_gpt2_summarization_xsum
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:xsum", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- license: creativeml-openrail-m --- https://civitai.com/models/60186/chosen-impasto-mix
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Ayham/xlnet_roberta_summarization_cnn_dailymail
[ "pytorch", "tensorboard", "encoder-decoder", "text2text-generation", "dataset:cnn_dailymail", "transformers", "generated_from_trainer", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
10
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029319223016500473, 0.019317790865898132, 0.003602029988542199, 0.008808908984065056, 0.04274054244160652, -0.019851526245474815, -0.021197468042373657, -0.0171375572681427, -0.030590277165174484, 0.08464203774929047, 0.018381448462605476, -0.008420921862125397, 0.016743741929531097, 0....
Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6-e18
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
2023-05-13T18:38:46Z
--- 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...
[ -0.017251955345273018, -0.01798112690448761, -0.006417972967028618, 0.030776942148804665, 0.05070837214589119, -0.01730019971728325, -0.011648345738649368, -0.009149224497377872, -0.05937739834189415, 0.054431069642305374, -0.002223073737695813, -0.009079675190150738, 0.025092052295804024, ...
AyushPJ/ai-club-inductions-21-nlp-distilBERT
[ "pytorch", "distilbert", "question-answering", "transformers", "generated_from_trainer", "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, ...
8
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy - f1 model-index: - name: bert-uncased-finetuned-mrpc results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: mrpc split: validation...
[ -0.01711101643741131, 0.003867669962346554, -0.01954605057835579, 0.04318278655409813, 0.06597493588924408, 0.021652907133102417, -0.011416015215218067, -0.026322366669774055, -0.037605445832014084, 0.0646074190735817, -0.0000015085056475072633, -0.017049133777618408, 0.02626909129321575, ...
Azuris/DialoGPT-medium-senorita
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
2023-05-13T19:04:01Z
--- language: en tags: - multivae license: apache-2.0 --- ### Downloading this model from the Hub This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub` ```python >>> from multivae.models import AutoModel >>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_us...
[ -0.03653835132718086, -0.0589064285159111, -0.005368987563997507, 0.005391913000494242, 0.05030456930398941, 0.01870766468346119, -0.006683170795440674, -0.011249218136072159, -0.02457122877240181, 0.02907027117908001, 0.0364757664501667, 0.00390697130933404, 0.03047722764313221, 0.0462388...
Barytes/hellohf
[ "tf", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
2
2023-05-13T20:52:01Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: dummy-fashion-classification 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 co...
[ -0.038022156804800034, 0.011667083017528057, -0.011852150782942772, 0.05355892330408096, 0.032586630433797836, 0.009683188982307911, -0.017479130998253822, 0.027964336797595024, -0.013550602830946445, 0.06503287702798843, 0.015195931307971478, -0.028327466920018196, 0.025018395856022835, 0...
BatuhanYilmaz/bert-finetuned-nerxD
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### WendiTrainedDelibarate Dreambooth model trained by MVPWendi 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 A...
[ -0.034273214638233185, -0.013542651198804379, -0.03157831355929375, 0.025271087884902954, 0.032318614423274994, 0.022130263969302177, 0.0063158380798995495, 0.005321969278156757, -0.021801795810461044, 0.043424684554338455, 0.047159381210803986, 0.005066093988716602, -0.023298688232898712, ...
BenDavis71/GPT-2-Finetuning-AIRaid
[ "pytorch", "jax", "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...
10
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.046317171305418015, -0.002067692345008254, 0.013476687483489513, 0.04145622253417969, 0.025717010721564293, -0.00674956850707531, -0.006709474604576826, -0.029016634449362755, -0.029825732111930847, 0.055046357214450836, 0.043001655489206314, 0.00445944257080555, 0.011160828173160553, 0...
BigSalmon/Flowberta
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
13
null
--- license: cc-by-4.0 tags: - generated_from_trainer model-index: - name: finetuning-l3-bert-latest results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # finetuning...
[ -0.00870382972061634, -0.004397651180624962, -0.025092294439673424, 0.029016675427556038, 0.04427089914679527, 0.01949019357562065, -0.030832558870315552, -0.02147558331489563, -0.030544370412826538, 0.054369423538446426, 0.018791986629366875, -0.02442241460084915, 0.017704686149954796, 0....
BigSalmon/InformalToFormalLincoln20
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2023-05-14T00:32:44Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: my_wikilingua_model2 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. --> ...
[ -0.009510786272585392, -0.032161254435777664, -0.005207992158830166, 0.038255687803030014, 0.027829764410853386, 0.007739700376987457, -0.013248024508357048, -0.01668858341872692, -0.04453925043344498, 0.06497080624103546, 0.002428271807730198, -0.03296272084116936, 0.005794323515146971, 0...
BigSalmon/InformalToFormalLincolnDistilledGPT2
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: mit tags: - generated_from_trainer model-index: - name: viettel-xlm-roberta-base-finetune-viquad-model-2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. ...
[ -0.044416386634111404, -0.005115056876093149, 0.011428316123783588, 0.01816137321293354, 0.014663243666291237, 0.015821995213627815, -0.012896035797894001, -0.005327845923602581, -0.022462861612439156, 0.03656541556119919, 0.022023851051926613, -0.04689088091254234, 0.009570788592100143, 0...
BigTooth/DialoGPT-small-tohru
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- license: cc-by-nc-sa-4.0 tags: - generated_from_trainer datasets: - cord-layoutlmv3 metrics: - precision - recall - f1 - accuracy model-index: - name: layoutlmv3-finetuned-cord_100 results: - task: name: Token Classification type: token-classification dataset: name: cord-layoutlmv3 t...
[ -0.010064947418868542, 0.02104661427438259, -0.018593700602650642, 0.022437306120991707, 0.05250482261180878, 0.024069733917713165, -0.035430099815130234, -0.005450844299048185, -0.029741674661636353, 0.05825291574001312, 0.05207512155175209, -0.024326810613274574, 0.009365749545395374, 0....
Bilz/DialoGPT-small-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - rouge model-index: - name: phobert_shared-vietnews 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. --> # phobert_shared...
[ -0.01276571024209261, -0.011414091102778912, -0.012594305910170078, 0.03565295785665512, 0.04604623094201088, 0.004673317540436983, -0.01500594150274992, -0.014222966507077217, -0.046823032200336456, 0.0477762445807457, 0.005348461214452982, -0.04403836652636528, -0.0004055668250657618, 0....
Binbin/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: cc-by-nc-sa-4.0 --- # Lighting ASR英文语音识别模型 ## 环境依赖 ``` - Python3.7+ - PyTorch 1.8.1+ - torchaudio - soundfile - librosa ``` ## 安装[lighting-asr](https://github.com/gaochangfeng/lighting-asr.git) ### 下载源代码并添加到python路径 ``` export PYTHONPATH=/path/to/lasrfolder/:$PYTHONPATH ``` ### 源文件安装 ``` git clone ht...
[ -0.030942238867282867, -0.0149940624833107, -0.01900165155529976, 0.03251839801669121, 0.07771341502666473, 0.012606427073478699, -0.009613202884793282, -0.01160079799592495, -0.05524178221821785, 0.05713137239217758, 0.027697820216417313, -0.009644434787333012, 0.00043896332499571145, 0.0...
BinksSachary/DialoGPT-small-shaxx
[ "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: - LunarLander-v2 - ppo - deep-reinforcement-learning - reinforcement-learning - custom-implementation - deep-rl-course model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 metr...
[ -0.007168448064476252, 0.004909904673695564, -0.016341019421815872, 0.016168717294931412, 0.059334658086299896, -0.02799537405371666, 0.006932965945452452, -0.03382319584488869, -0.025673596188426018, 0.06610995531082153, 0.026991602033376694, -0.027839964255690575, -0.0014370610006153584, ...
BinksSachary/ShaxxBot2
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- license: mit tags: - generated_from_trainer model-index: - name: viettel-xlm-roberta-base-finetune-viquad-model-4 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. ...
[ -0.04471495747566223, -0.0036477751564234495, 0.010384353809058666, 0.016410037875175476, 0.014389625750482082, 0.01686086505651474, -0.013587972149252892, -0.006252876948565245, -0.02289678528904915, 0.03776334971189499, 0.021401681005954742, -0.04813668876886368, 0.010227634571492672, 0....
Bloodwarrior/Chikfalay
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
BART MODEL #10 PRETRAINED ON XSUM AND FINETUNED ON SAMSUM
[ -0.03440545126795769, -0.002867581555619836, 0.00369058595970273, 0.03763721138238907, 0.013050779700279236, 0.06122925877571106, -0.020248588174581528, 0.022741876542568207, -0.03855094686150551, 0.03733329474925995, 0.043596524745225906, -0.021436400711536407, 0.030083278194069862, 0.035...
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
PEGASUS MODEL #5 PRETRAINED ON XSUM AND FINETUNED ON SAMSUM
[ -0.025636712089180946, -0.011522829532623291, 0.005552681628614664, 0.0017908060690388083, 0.025642288848757744, 0.0424976721405983, -0.006866677198559046, 0.002586418529972434, -0.016804253682494164, 0.026361845433712006, 0.029601270332932472, -0.02384684793651104, 0.022051384672522545, 0...
BobBraico/bert-finetuned-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer model-index: - name: finetuned-facebook-bart-base 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. --> # finetuned-facebook-bart-ba...
[ -0.02313218265771866, -0.019748372957110405, -0.017874466255307198, 0.04125269129872322, 0.020854748785495758, 0.04029395803809166, -0.03441346436738968, -0.0013388614170253277, -0.04454438015818596, 0.05889545753598213, 0.05976966768503189, -0.0011843685060739517, 0.036798641085624695, 0....
Bosio/full-sentence-distillroberta3-finetuned-wikitext2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.04225340485572815, -0.0026996301021426916, 0.012242031283676624, 0.03692254051566124, 0.02443055808544159, -0.011421619914472103, -0.012478041462600231, -0.02703830599784851, -0.038511358201503754, 0.054753176867961884, 0.03684363514184952, 0.001882148440927267, 0.01912972889840603, 0.0...
Botjallu/DialoGPT-small-harrypotter
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- 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...
[ -0.017159992828965187, -0.017694849520921707, -0.006356498226523399, 0.030971091240644455, 0.05046035721898079, -0.017437176778912544, -0.011048827320337296, -0.009121648967266083, -0.058929089456796646, 0.05364249646663666, -0.0016012846026569605, -0.010113093070685863, 0.02482302486896515,...
Brayan/CNN_Brain_Tumor
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer model-index: - name: viettel-xlm-roberta-base-finetune-viquad-model-5 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. ...
[ -0.043321602046489716, -0.0022227419540286064, 0.010689729824662209, 0.015374407172203064, 0.013805417343974113, 0.018528079614043236, -0.016900192946195602, -0.004735983908176422, -0.02200869843363762, 0.03549135476350784, 0.02172815054655075, -0.04939553514122963, 0.009431918151676655, 0...
Brykee/BrykeeBot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 pipeline_tag: text2text-generation ---
[ -0.01661875657737255, -0.004131419584155083, 0.01225298922508955, 0.005754517391324043, 0.057542361319065094, 0.010503492318093777, -0.004057397600263357, 0.022011257708072662, -0.028255896642804146, 0.05998358502984047, 0.03321521729230881, 0.0032809865660965443, 0.015810251235961914, 0.0...
BumBelDumBel/TRUMP
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
BART MODEL #11 PRETRAINED ON XSUM AND FINETUNED ON SAMSUM
[ -0.03905582055449486, -0.007684058975428343, -0.00404804153367877, 0.044376812875270844, 0.021378492936491966, 0.0508599653840065, -0.014668887481093407, 0.017450427636504173, -0.03809804469347, 0.035786088556051254, 0.040545396506786346, -0.022770840674638748, 0.027271820232272148, 0.0352...
BumBelDumBel/ZORK-AI-TEST
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
BART MODEL #12 PRETRAINED ON XSUM AND FINETUNED ON SAMSUM
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CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
71
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 ...
[ -0.0375591516494751, -0.0029490599408745766, -0.0055313752964138985, 0.025626732036471367, 0.045664262026548386, -0.02132250927388668, -0.005554978270083666, -0.02774776890873909, -0.03268804773688316, 0.0663297027349472, 0.03239550068974495, -0.023685695603489876, 0.022951917722821236, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
132
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: mt5-base-active_passive 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. -...
[ -0.01823984459042549, -0.009777831844985485, 0.002457654569298029, 0.032182708382606506, 0.03458373248577118, 0.015799595043063164, -0.033299095928668976, -0.01710197702050209, -0.042084090411663055, 0.049993425607681274, 0.01423781830817461, -0.03733699023723602, 0.01773233711719513, 0.02...
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
Access to model dalpaka/easy is restricted and you are not in the authorized list. Visit https://huggingface.co/dalpaka/easy to ask for access.
[ -0.03382929787039757, 0.00024336327624041587, 0.014782981015741825, 0.007737509906291962, 0.04355333000421524, 0.006907700560986996, 0.00559189822524786, 0.01707540825009346, -0.04799851030111313, 0.06944669783115387, 0.06636680662631989, 0.004998161923140287, 0.02433886006474495, 0.022530...
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
--- 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 ...
[ -0.02119467221200466, -0.014776918105781078, -0.00794245582073927, 0.025658590719103813, 0.0464981384575367, 0.00007616355287609622, -0.019294071942567825, 0.00648119580000639, -0.035730645060539246, 0.05374180153012276, 0.018109288066625595, -0.007229777052998543, 0.013028306886553764, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
229
null
--- license: mit datasets: - squad_v2 - squad language: - en library_name: transformers pipeline_tag: question-answering tags: - deberta - deberta-v3 - question-answering - squad - squad_v2 model-index: - name: sjrhuschlee/deberta-v3-base-squad2 results: - task: type: question-answering name: Question A...
[ 0.009261022321879864, -0.028442267328500748, -0.006776005029678345, 0.05017436668276787, 0.048102766275405884, 0.017945583909749985, -0.025622712448239326, 0.02171456813812256, -0.049834225326776505, 0.03733464330434799, 0.027384605258703232, 0.009772389195859432, 0.0063496725633740425, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-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...
25
null
Access to model xyz-nlp/XuanYuan2.0 is restricted and you are not in the authorized list. Visit https://huggingface.co/xyz-nlp/XuanYuan2.0 to ask for access.
[ -0.05351073667407036, 0.0017118590185418725, 0.009657669812440872, 0.021299375221133232, 0.027457697317004204, 0.008098755963146687, 0.0079430490732193, -0.007985441945493221, -0.03276171162724495, 0.03772565722465515, 0.03778516501188278, -0.004608001094311476, 0.008593522943556309, 0.042...
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
52
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: sec-t5-base 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. --> # sec-t5-base This model...
[ -0.0286670234054327, -0.01992432400584221, -0.00532191339880228, 0.04048606753349304, 0.026348821818828583, 0.001429953146725893, -0.019838687032461166, -0.0003618072660174221, -0.03632192686200142, 0.04348961263895035, 0.02596336416900158, -0.016150236129760742, -0.009131046012043953, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
21
null
--- tags: - conversational --- # Rocket DialoGPT Model
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CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth
[ "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...
26
null
--- license: mit tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: roberta-token-class results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remo...
[ -0.017930710688233376, 0.011765689589083195, 0.0033588630612939596, 0.03676089271903038, 0.039591267704963684, 0.014703636057674885, -0.027891581878066063, -0.036278922110795975, -0.04890523478388786, 0.05769885331392288, 0.02389870211482048, -0.042019814252853394, 0.011216889135539532, 0....
CL/safe-math-bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - autotrain - summarization language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - Xmm/autotrain-data-pegasus-x-large co2_eq_emissions: emissions: 11.841975053683889 --- # Model Trained Using AutoTrain - Problem type: Summarization - Model ID: 58281133234 - CO2 Emissions (in grams): 11.8420 ##...
[ -0.027580227702856064, -0.014695216901600361, 0.008816611021757126, 0.02577734924852848, 0.03395301103591919, 0.0100040128454566, -0.035317521542310715, -0.02275146171450615, -0.033357489854097366, 0.07555641978979111, 0.014518476091325283, 0.024670343846082687, 0.009824561886489391, 0.034...
CM-CA/DialoGPT-small-cartman
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Access to model galdleduc/Assignment3Lab5MonitoringPartB is restricted and you are not in the authorized list. Visit https://huggingface.co/galdleduc/Assignment3Lab5MonitoringPartB to ask for access.
[ -0.03272165358066559, -0.0011752017308026552, 0.0014265355421230197, 0.009683939628303051, 0.04414432495832443, 0.015459980815649033, -0.022655487060546875, -0.0017809473210945725, -0.06677123159170151, 0.0417427234351635, 0.05185014382004738, 0.0016607968136668205, -0.009511711075901985, ...
Calamarii/calamari
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: PranjalSarin/distilbert-base-uncased-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove th...
[ -0.0284144077450037, -0.005128222052007914, -0.023051105439662933, 0.03003178909420967, 0.04274532198905945, 0.02333522029221058, -0.03091445378959179, -0.002131109591573477, -0.03352557122707367, 0.04513734206557274, 0.03341945633292198, -0.03648329898715019, 0.026480944827198982, 0.03578...
CalvinHuang/mt5-small-finetuned-amazon-en-es
[ "pytorch", "tensorboard", "mt5", "text2text-generation", "transformers", "summarization", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
summarization
{ "architectures": [ "MT5ForConditionalGeneration" ], "model_type": "mt5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
16
null
--- tags: - autotrain - summarization language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - Xmm/autotrain-data-pegasus-x-base-finetuned-multi-news co2_eq_emissions: emissions: 7.52869711790795 --- # Model Trained Using AutoTrain - Problem type: Summarization - Model ID: 58291133236 - CO2 Emissions (in g...
[ -0.02878059819340706, -0.01898179017007351, 0.006809122860431671, 0.027125705033540726, 0.03239283710718155, 0.01725238747894764, -0.03196568787097931, -0.021205320954322815, -0.03362615406513214, 0.07785056531429291, 0.013728432357311249, 0.024967040866613388, 0.010640138760209084, 0.0281...
Canyonevo/DialoGPT-medium-KingHenry
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall model-index: - name: distilbert_imdb_genre_classifier results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then ...
[ -0.011510900221765041, 0.012726515531539917, -0.03441997617483139, 0.05412925034761429, 0.05298322066664696, 0.026360031217336655, -0.032308902591466904, -0.022588657215237617, -0.019566446542739868, 0.07864608615636826, 0.04605806991457939, -0.02582448534667492, -0.0020632771775126457, 0....
Capreolus/bert-base-msmarco
[ "pytorch", "tf", "jax", "bert", "text-classification", "arxiv:2008.09093", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
238
null
--- license: cc-by-nc-4.0 language: - zh --- CHaMA is a LLM sized 1B which is built for ALL NLP TASKS.A LLaMA-like Model which can be used in business is HERE by Change ALMOST EVETHING and Re-PRETRAINED FOR ZORE to ONE.
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Carlork314/Carlos
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/model-cards {} --- # Blue Archive Yuuka VITS SVC 4.0 Voice Model <!-- Provide a quick summary of what the model is/does. --> Yuuka Hayase from...
[ -0.04228024184703827, -0.014989230781793594, 0.012891238555312157, -0.009616617113351822, 0.0171738862991333, 0.023390982300043106, -0.0041600558906793594, 0.0006098233279772103, -0.009829480201005936, 0.045787226408720016, 0.04075350612401962, 0.002473060507327318, 0.060054391622543335, 0...
Cedille/fr-boris
[ "pytorch", "gptj", "text-generation", "fr", "dataset:c4", "arxiv:2202.03371", "transformers", "causal-lm", "license:mit", "has_space" ]
text-generation
{ "architectures": [ "GPTJForCausalLM" ], "model_type": "gptj", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
401
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 ...
[ -0.03711717948317528, -0.002730628475546837, -0.005413888022303581, 0.02573804184794426, 0.0457015261054039, -0.021083194762468338, -0.005298640578985214, -0.0277556162327528, -0.032918401062488556, 0.06652451306581497, 0.032429419457912445, -0.02354123257100582, 0.022903315722942352, 0.00...
dccuchile/albert-large-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...
3
null
--- language: - en tags: - feature-extraction - pubmed - sentence-similarity datasets: - biu-nlp/abstract-sim-pubmed --- A model for mapping abstract sentence descriptions to sentences that fit the descriptions. Trained on Pubmed sentences. Use ```load_finetuned_model``` to load the query and sentence encoder, and ```...
[ -0.018713615834712982, -0.04080381616950035, -0.0008921411354094744, 0.0722154825925827, 0.04003550112247467, 0.021920010447502136, -0.013684513978660107, -0.01570361666381359, -0.02895878255367279, 0.07360462099313736, 0.028371470049023628, 0.030495312064886093, -0.0014599156565964222, 0....
dccuchile/albert-large-spanish-finetuned-qa-mlqa
[ "pytorch", "albert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "AlbertForQuestionAnswering" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
5
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - valerizab/pokemon These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weigh...
[ -0.02932588756084442, -0.013123205862939358, -0.025822196155786514, 0.02682187594473362, 0.04758917912840843, -0.013660693541169167, 0.010746852494776249, -0.015074461698532104, -0.005917463917285204, 0.07003194093704224, 0.02576138637959957, -0.028994806110858917, 0.007130211219191551, 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
--- language: - en tags: - pubmed - feature-extraction - sentence-similarity datasets: - biu-nlp/abstract-sim-pubmed --- A model for mapping abstract sentence descriptions to sentences that fit the descriptions. Trained on Pubmed sentences. Use ```load_finetuned_model``` to load the query and sentence encoder, and ```...
[ -0.0176595076918602, -0.04109635949134827, -0.0017929630121216178, 0.07287229597568512, 0.03992896527051926, 0.021973079070448875, -0.013209974393248558, -0.01643509604036808, -0.028080888092517853, 0.07225373387336731, 0.027973739430308342, 0.029288554564118385, -0.0006872611702419817, 0....
dccuchile/albert-xlarge-spanish-finetuned-pawsx
[ "pytorch", "albert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "AlbertForSequenceClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no...
24
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: ru_propaganda_opposition_model_distilbert-base-multilingual-cased results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, t...
[ -0.02482828125357628, -0.007515709847211838, -0.03278732672333717, 0.0604916587471962, 0.06377484649419785, 0.01750374399125576, -0.014368042349815369, -0.026440974324941635, -0.05611148104071617, 0.06356316059827805, 0.015618992038071156, -0.04082663357257843, 0.017915908247232437, 0.0367...
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
--- 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...
[ -0.021706657484173775, -0.03312091901898384, 0.006928392685949802, 0.022917693480849266, 0.01058720238506794, 0.02460860274732113, -0.029541553929448128, -0.016725407913327217, -0.028829503804445267, 0.032675113528966904, 0.03176262974739075, 0.010438943281769753, 0.04351670667529106, 0.02...
dccuchile/bert-base-spanish-wwm-cased-finetuned-pawsx
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_rewa...
[ -0.029781661927700043, 0.017211955040693283, 0.002574865473434329, 0.010355156846344471, 0.04425831139087677, -0.01814032904803753, -0.022148771211504936, -0.018774909898638725, -0.02991902269423008, 0.08293067663908005, 0.017224619165062904, -0.008572249673306942, 0.012768262065947056, 0....
dccuchile/bert-base-spanish-wwm-cased-finetuned-qa-mlqa
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
5
null
--- 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 ...
[ -0.03732704743742943, -0.003030996536836028, -0.005337205715477467, 0.025739377364516258, 0.04540790244936943, -0.021701065823435783, -0.004944182466715574, -0.02785421535372734, -0.033775512129068375, 0.06637944281101227, 0.03262878581881523, -0.023361876606941223, 0.022604290395975113, 0...
dccuchile/bert-base-spanish-wwm-cased-finetuned-xnli
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- datasets: - OpenAssistant/oasst1 language: - ru - en metrics: - accuracy - bertscore library_name: adapter-transformers ---
[ -0.045481275767087936, -0.007341024465858936, -0.005022694822400808, -0.009584909304976463, 0.058447323739528656, 0.01251263078302145, -0.026202743873000145, 0.005032396409660578, -0.07420828193426132, 0.04416033998131752, 0.02829955331981182, 0.015974925830960274, -0.002819464076310396, 0...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-ner
[ "pytorch", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
5
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb model-index: - name: distilbert-base-uncased-finetuned-imdb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.015767473727464676, 0.006404047831892967, -0.03314715996384621, 0.04619771987199783, 0.04664427042007446, 0.026195699349045753, -0.020098038017749786, -0.02520759031176567, -0.03048592433333397, 0.06527230143547058, 0.047554440796375275, -0.02541498839855194, 0.013703654520213604, 0.046...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-qa-mlqa
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
5
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 me...
[ -0.041407398879528046, 0.01346477773040533, 0.014840262942016125, 0.020085448399186134, 0.05006008595228195, -0.012901690788567066, -0.01954815909266472, -0.028327444568276405, -0.017560062929987907, 0.06493829935789108, 0.036265067756175995, -0.00808575190603733, 0.008093226701021194, -0....
CennetOguz/distilbert-base-uncased-finetuned-recipe-1
[ "pytorch", "tensorboard", "distilbert", "fill-mask", "transformers", "generated_from_trainer", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
7
null
--- license: creativeml-openrail-m language: - zh tags: - 梵蒂岡驅魔士線上看 - 梵蒂岡驅魔士線上看完整版 --- # 《梵蒂岡驅魔士》免費線上看~完整版(2023小鴨影音) 《梵蒂岡驅魔士》高畫質免費線上看,梵蒂岡驅魔士線上看完整版,梵蒂岡驅魔士線上看小鴨,提供繁體中文字幕。 (電影)免費線上看【梵蒂岡驅魔士】 : ➤ [https://梵蒂岡驅魔士 The Pope's Exorcist](https://super4kuhdq.com/zh/movie/758323) 台灣 No.1 高清正版線上看 | 460p - 720p - 1080p - BRRip ...
[ -0.015401448123157024, -0.005933778360486031, -0.01210995577275753, 0.017237788066267967, 0.05511118471622467, 0.0003262962563894689, -0.02928418107330799, 0.02208601124584675, -0.017921775579452515, 0.052814729511737823, 0.023874739184975624, 0.00025618879590183496, 0.021934321150183678, ...
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: - en library_name: nemo pipeline_tag: token-classification tags: - G2P - Grapheme-to-Phoneme --- # English G2P token classification model This is a non-autoregressive model for English grapheme-to-phoneme (G2P) conversion based on BERT architecture. It predicts phonemes in CMU format....
[ -0.02461550012230873, -0.008000428788363934, 0.008447859436273575, 0.04868964105844498, 0.028899377211928368, 0.02137906476855278, -0.009124847128987312, -0.012742831371724606, -0.04678238928318024, 0.034657835960388184, 0.026247942820191383, 0.005788869224488735, 0.011397059075534344, 0.0...
Chaddmckay/Cdm
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - generated_from_trainer metrics: - rouge model-index: - name: bartpho-word-base 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. --> # bartpho-word-base T...
[ -0.026374271139502525, -0.02387029305100441, -0.007333677727729082, 0.040538594126701355, 0.015456224791705608, -0.00475431140512228, 0.00249143922701478, -0.0012661762302741408, -0.05364176258444786, 0.04673166573047638, 0.014941743575036526, -0.031686533242464066, 0.013981708325445652, 0...
Chaima/TunBerto
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA text2image fine-tuning - valerizab/pokemon2 These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weig...
[ -0.029236501082777977, -0.013265728950500488, -0.026986008509993553, 0.02700561285018921, 0.04732402041554451, -0.014714979566633701, 0.01058232132345438, -0.01522160042077303, -0.006992379669100046, 0.06983324140310287, 0.02590167708694935, -0.029656091704964638, 0.00691250991076231, 0.03...
Chalponkey/DialoGPT-small-Barry
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- library_name: sample-factory tags: - deep-reinforcement-learning - reinforcement-learning - sample-factory model-index: - name: APPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: doom_health_gathering_supreme type: doom_health_gathering_sup...
[ -0.03772357478737831, -0.0016843030462041497, 0.01309715211391449, 0.036043744534254074, 0.02350783720612526, -0.00930115208029747, -0.011778004467487335, -0.02372666448354721, -0.03833572193980217, 0.05736099183559418, 0.03923322260379791, -0.0034664610866457224, 0.02014782465994358, 0.02...
Chandanbhat/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
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.04984621703624725, -0.01627405919134617, -0.008517181500792503, 0.036462265998125076, 0.0409759059548378, 0.00292831938713789, -0.021235495805740356, -0.010395867750048637, -0.03809727728366852, 0.05723511055111885, 0.023978129029273987, -0.003109113546088338, 0.031980808824300766, 0.00...