modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
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59.7M
first_commit
timestamp[ns, tz=UTC]
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Davlan/xlm-roberta-base-finetuned-chichewa
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
5
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: t5_recommendation_piscine_equipements_large 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 re...
[ -0.020476240664720535, -0.0022760697174817324, 0.012959377840161324, 0.05131836235523224, 0.03373655304312706, -0.010859664529561996, -0.02051413431763649, -0.011668726801872253, -0.02415139600634575, 0.050750549882650375, 0.030209269374608994, -0.026197921484708786, -0.021416163071990013, ...
Davlan/xlm-roberta-base-finetuned-swahili
[ "pytorch", "xlm-roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "XLMRobertaForMaskedLM" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repe...
40
null
# Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-en](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-en): `vocabtrimmer/xlm-roberta-base-xnli-en-trimmed-en-30000` This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-en](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-en) b...
[ -0.015135582536458969, -0.008682629093527794, -0.012939677573740482, 0.022382225841283798, 0.018064511939883232, 0.019162148237228394, 0.0013927678810432553, -0.004338291473686695, -0.04752574861049652, 0.05183419957756996, 0.014158147387206554, -0.04200709983706474, 0.0062624551355838776, ...
DeadBeast/roberta-base-pretrained-mr-2
[ "pytorch", "jax", "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...
5
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...
[ -0.014911380596458912, 0.01392510998994112, -0.001369459554553032, 0.004843553993850946, 0.048270151019096375, -0.03096054494380951, 0.00551811745390296, -0.029470667243003845, -0.013032136484980583, 0.05927163362503052, 0.03371928259730339, -0.02709539234638214, 0.004417993128299713, 0.02...
Declan/CNN_model_v4
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-04-22T19:00:38Z
# Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-de](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-de): `vocabtrimmer/xlm-roberta-base-xnli-de-trimmed-de-5000` This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-de](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-de) by...
[ -0.015297522768378258, -0.009650623425841331, -0.012736271135509014, 0.01933644339442253, 0.017998740077018738, 0.02133229933679104, 0.00021560500317718834, -0.003473394550383091, -0.04490215331315994, 0.050698358565568924, 0.01603277400135994, -0.04175175353884697, 0.005034288391470909, 0...
Declan/NewYorkTimes_model_v6
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
# Vocabulary Trimmed [vocabtrimmer/xlm-roberta-base-xnli-ar](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-ar): `vocabtrimmer/xlm-roberta-base-xnli-ar-trimmed-ar-5000` This model is a trimmed version of [vocabtrimmer/xlm-roberta-base-xnli-ar](https://huggingface.co/vocabtrimmer/xlm-roberta-base-xnli-ar) by...
[ -0.01616767793893814, -0.0092717120423913, -0.013336671516299248, 0.02437305636703968, 0.018423695117235184, 0.016184749081730843, -0.00007403775089187548, -0.0034280079416930676, -0.042974866926670074, 0.05096660554409027, 0.015159077011048794, -0.04096511751413345, 0.0026696259155869484, ...
Declan/WallStreetJournal_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-04-22T20:23:07Z
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # rithwik-db/gpl_tsdae-e5-base-unsupervised-test-1 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space a...
[ -0.03399699181318283, -0.023502124473452568, -0.018457431346178055, 0.053217288106679916, 0.013657094910740852, 0.03730056434869766, -0.025380870327353477, -0.011674424633383751, -0.06482616811990738, 0.08404850959777832, 0.029813513159751892, 0.013286883011460304, -0.002539084292948246, 0...
Denilson/gbert-base-germaner
[]
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 127-0-13-37/EdgeOfRealism is restricted and you are not in the authorized list. Visit https://huggingface.co/127-0-13-37/EdgeOfRealism to ask for access.
[ -0.04415130987763405, 0.017805198207497597, -0.016305595636367798, -0.00017522908456157893, 0.04158705845475197, -0.005242940504103899, -0.008327207528054714, 0.012872006744146347, -0.03589901700615883, 0.049021750688552856, 0.045192062854766846, -0.019571859389543533, 0.0009668833226896822,...
DongHai/DialoGPT-small-rick
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
2023-04-23T00:06:37Z
--- tags: - generated_from_trainer model-index: - name: flan-t5-large-da-multiwoz2.0_400-ep12-nonstop 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. --> # flan-t5-l...
[ -0.04857039451599121, -0.02062368392944336, -0.00634003896266222, 0.045615002512931824, 0.03692834824323654, 0.010592215694487095, -0.007158544380217791, -0.015926804393529892, -0.005166713614016771, 0.03783750906586647, 0.04646198824048042, 0.001978802029043436, -0.00432241428643465, 0.03...
Donghyun/L2_BERT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T00:14:23Z
--- tags: - generated_from_trainer model-index: - name: flan-t5-large-da-multiwoz2.0_400-ep18-nonstop 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. --> # flan-t5-l...
[ -0.04943662881851196, -0.021165966987609863, -0.006595633924007416, 0.046072591096162796, 0.03668829798698425, 0.009949320927262306, -0.006647307425737381, -0.016902213916182518, -0.004780370742082596, 0.03733363747596741, 0.046483125537633896, 0.003771440126001835, -0.004179079085588455, ...
Dongjae/mrc2reader
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
2023-04-23T00:17:12Z
--- license: openrail language: - fa - en pipeline_tag: text-to-video ---
[ -0.035469330847263336, -0.01095395628362894, -0.014429028145968914, -0.002813299186527729, 0.07835770398378372, 0.02562495321035385, -0.009852579794824123, 0.011807071045041084, -0.05168076232075691, 0.04746527969837189, 0.025444768369197845, 0.006014761049300432, 0.003548423759639263, 0.0...
Doogie/Waynehills-KE-T5-doogie
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T00:34:53Z
--- 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 ...
[ -0.03749658539891243, -0.0019190794555470347, -0.004716496914625168, 0.025064833462238312, 0.045113690197467804, -0.0220097117125988, -0.005269444547593594, -0.028287651017308235, -0.03328785300254822, 0.06670886278152466, 0.033232804387807846, -0.023759357631206512, 0.02290002629160881, 0...
Waynehillsdev/wav2vec2-base-timit-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
2023-04-23T00:50:01Z
--- license: cc-by-sa-4.0 language: - en library_name: transformers pipeline_tag: text-generation tags: - stableLM - sharded widget: - text: Imagine Einstein was part of a comedy duo. What would be their stage name? example_title: Einstein's comedy duo - text: What do you think Einstein's favorite Swiss chocola...
[ -0.011585194617509842, -0.013438398949801922, -0.012130684219300747, 0.03292237967252731, 0.028084464371204376, 0.023717226460576057, -0.007894591428339481, 0.009829223155975342, -0.04930202662944794, 0.05436796322464943, 0.0563579685986042, -0.014053049497306347, 0.020270705223083496, 0.0...
Doohae/p_encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
2023-04-23T01:11:27Z
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: RobCaamano/toxicity_distilbert results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # Rob...
[ -0.02784992754459381, -0.008726013824343681, -0.010605771094560623, 0.03445935621857643, 0.036614589393138885, 0.028390729799866676, -0.008357619866728783, -0.015973838046193123, -0.033460188657045364, 0.046326588839292526, 0.028397388756275177, -0.015731604769825935, 0.026011275127530098, ...
Doohae/roberta
[ "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...
3
2023-04-23T01:12:05Z
--- 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...
[ -0.016941433772444725, -0.017197780311107635, -0.005927306599915028, 0.02905898727476597, 0.05244443565607071, -0.01835210621356964, -0.011560582555830479, -0.008351382799446583, -0.05949496850371361, 0.053150080144405365, -0.0025950917042791843, -0.010085913352668285, 0.02536729909479618, ...
Doquey/DialoGPT-small-Luisbot1
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-04-23T01:12:06Z
--- license: creativeml-openrail-m pipeline_tag: text-to-image tags: - stable-diffusion - lora --- # LoRA Peace Sign✌ This is LoRA, designed to increase the accuracy of drawing the peace sign. - LoRA Peace Sign Ver. 0.3 ## Usage - Use the AUTOMATIC1111's [stable-diffusion-webui](https://github.com/AUTOMATIC1111/st...
[ 0.003492533229291439, 0.0002616494311951101, -0.013794171623885632, 0.0207060556858778, 0.04210815578699112, 0.01506933942437172, 0.007844513282179832, 0.0009743804694153368, -0.015624458901584148, 0.05996757745742798, 0.0053301225416362286, -0.03177892416715622, 0.004423596430569887, 0.03...
DoyyingFace/bert-COVID-HATE-finetuned-test
[ "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...
29
null
--- license: cc-by-nc-sa-4.0 language: - en library_name: transformers pipeline_tag: text-generation tags: - stableLM - sharded widget: - text: Imagine Einstein was part of a comedy duo. What would be their stage name? example_title: Einstein's comedy duo - text: What do you think Einstein's favorite Swiss choc...
[ -0.009672023355960846, -0.013809317722916603, -0.01093511562794447, 0.03318627178668976, 0.027995465323328972, 0.02483334019780159, -0.01085151731967926, 0.007774583995342255, -0.04631100222468376, 0.05331193655729294, 0.05626189336180687, -0.012648943811655045, 0.01849154196679592, 0.0301...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-slanted
[ "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...
29
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 ...
[ -0.03748631477355957, -0.002277737483382225, -0.004966363776475191, 0.025394270196557045, 0.04589128494262695, -0.020714184269309044, -0.005630706436932087, -0.02733459509909153, -0.03319254145026207, 0.06623397022485733, 0.031870435923337936, -0.023278752341866493, 0.02300308272242546, 0....
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-50
[ "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
--- license: apache-2.0 tags: - generated_from_trainer datasets: - xsum model-index: - name: t5-small-finetuned-xsum results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -...
[ -0.017961906269192696, -0.005607190541923046, 0.011661265045404434, 0.01789766736328602, 0.023587806150317192, 0.01107565313577652, -0.023666134104132652, -0.01191499549895525, -0.02705732174217701, 0.04694526642560959, 0.048240941017866135, 0.0015648083062842488, 0.008089038543403149, 0.0...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid
[ "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...
33
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: vit-base-patch16-224-diabetic-retinopathy results: [] datasets: - martinezomg/diabetic-retinopathy pipeline_tag: image-classification --- <!-- This model card has been generated automatically according to the information ...
[ -0.004240110516548157, -0.019596047699451447, 0.0255089420825243, 0.011771269142627716, 0.05168195813894272, 0.024555150419473648, -0.018887339159846306, -0.010286696255207062, -0.014460637234151363, 0.037860941141843796, -0.002602651482447982, -0.025034455582499504, 0.01032942347228527, 0...
DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid
[ "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
--- language: en --- #distilbert-base-uncased This model is based on the pre-trained model [distilbert-base-uncased] and was fine-tuned on a dataset of tweets from Kaggle's Toxic Comment Classification Challenge ### Inputs The model has been trained on the toxicity of tweets ranging from toxic, severe toxic, obscen...
[ -0.004267887677997351, -0.024777522310614586, -0.0006278789369389415, 0.05116419866681099, 0.05134541541337967, 0.036301031708717346, -0.009177018888294697, -0.015547780320048332, -0.03330176696181297, 0.02443341352045536, 0.0431041494011879, 0.0034772329963743687, 0.0057734898291528225, 0...
albert-large-v2
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "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_ngram_...
26,792
2023-04-23T02:05:28Z
--- license: afl-3.0 datasets: - OpenAssistant/oasst1 - fka/awesome-chatgpt-prompts metrics: - accuracy library_name: adapter-transformers pipeline_tag: text-classification tags: - legal ---# ⚠️ Type of model/library unknown. # Feel free to open a Pull request # for integration of the huggingface model hub # into t...
[ -0.04941413551568985, -0.01068371906876564, 0.009664678014814854, 0.021411435678601265, 0.023478174582123756, 0.008401109836995602, -0.033093854784965515, -0.006891591474413872, 0.0002548462653066963, 0.04967581108212471, 0.011645393446087837, 0.022884612902998924, 0.02875286526978016, 0.0...
bert-base-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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...
8,621,271
null
Access to model OliveVine/kipdr is restricted and you are not in the authorized list. Visit https://huggingface.co/OliveVine/kipdr to ask for access.
[ -0.04777870327234268, -0.016870269551873207, 0.009455247782170773, -0.004088046960532665, 0.040204983204603195, -0.007750955410301685, -0.0017359073972329497, 0.006800425238907337, -0.03564981743693352, 0.048247694969177246, 0.03129865974187851, -0.027396701276302338, 0.0004945222171954811, ...
bert-base-german-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "de", "transformers", "exbert", "license:mit", "autotrain_compatible", "has_space" ]
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...
175,983
2023-04-23T02:29:28Z
--- 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 ...
[ -0.03744048252701759, -0.00243149371817708, -0.005518525838851929, 0.025867445394396782, 0.04605713114142418, -0.02140037715435028, -0.005374593194574118, -0.028020020574331284, -0.032905515283346176, 0.0664810761809349, 0.03230831027030945, -0.023422276601195335, 0.023135874420404434, 0.0...
bert-base-multilingual-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
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...
4,749,504
2023-04-23T02:34:25Z
--- 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 ...
[ -0.03745756670832634, -0.0026140923146158457, -0.005347658414393663, 0.02553214505314827, 0.04566348344087601, -0.02115793339908123, -0.0053639961406588554, -0.027589038014411926, -0.03325529024004936, 0.06669721752405167, 0.03239396587014198, -0.023698201403021812, 0.02288338541984558, 0....
bert-base-uncased
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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...
59,663,489
2023-04-23T02:39:15Z
--- license: apache-2.0 --- # D13b-1-3-1 [https://github.com/DreamerGPT/DreamerGPT](https://github.com/DreamerGPT/DreamerGPT)
[ -0.010533399879932404, -0.022358234971761703, -0.012253928929567337, 0.01510703843086958, 0.052260711789131165, 0.009544657543301582, -0.012733394280076027, 0.00748326675966382, -0.017375588417053223, 0.02934345230460167, 0.032894279807806015, -0.004879295825958252, -0.001988145988434553, ...
bert-large-cased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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...
8,214
2023-04-23T02:42:22Z
--- 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...
[ -0.027718573808670044, -0.004811994265764952, -0.01896342635154724, 0.052030935883522034, 0.036667339503765106, 0.024846317246556282, -0.0015390199841931462, -0.035125914961099625, -0.025492079555988312, 0.04736461117863655, 0.02717810496687889, -0.008150851354002953, 0.017938293516635895, ...
distilbert-base-cased-distilled-squad
[ "pytorch", "tf", "rust", "safetensors", "openvino", "distilbert", "question-answering", "en", "dataset:squad", "arxiv:1910.01108", "arxiv:1910.09700", "transformers", "license:apache-2.0", "model-index", "autotrain_compatible", "has_space" ]
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, ...
257,745
2023-04-23T02:57:45Z
--- 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...
[ -0.03005126863718033, 0.01694844663143158, 0.003871777094900608, 0.010280155576765537, 0.04434244707226753, -0.01771530881524086, -0.022148918360471725, -0.01716044545173645, -0.029423052445054054, 0.08379440009593964, 0.016134046018123627, -0.007954408414661884, 0.01265584584325552, 0.019...
distilbert-base-uncased-distilled-squad
[ "pytorch", "tf", "tflite", "coreml", "safetensors", "distilbert", "question-answering", "en", "dataset:squad", "arxiv:1910.01108", "arxiv:1910.09700", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
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, ...
100,097
2023-04-23T03:06:26Z
--- datasets: - KoddaDuck/fleurs language: - zh ---
[ -0.032713208347558975, -0.041193459182977676, 0.005640137940645218, 0.019560199230909348, 0.046600501984357834, 0.006266535259783268, -0.005582344252616167, -0.016204452142119408, -0.02258193865418434, 0.02446570433676243, 0.021061290055513382, -0.0034293108619749546, 0.03797522559762001, ...
AIDA-UPM/bertweet-base-multi-mami
[ "pytorch", "roberta", "text-classification", "en", "transformers", "misogyny", "license:apache-2.0" ]
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, "...
41
null
# `vocabtrimmer/xlm-roberta-base-trimmed-en-5000-xnli-en` This model is a fine-tuned version of [vocabtrimmer/xlm-roberta-base-trimmed-en-5000](https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-5000) on the [xnli](https://huggingface.co/datasets/xnli) (en). Following metrics are computed on the `test` s...
[ -0.016562463715672493, -0.005474474746733904, 0.013794781640172005, 0.00516095943748951, 0.014861728996038437, 0.008401802740991116, -0.014509288594126701, -0.02182481251657009, -0.05213182792067528, 0.0426219180226326, 0.02743280678987503, -0.05450266972184181, -0.005062469746917486, 0.02...
ALaks96/distilbart-cnn-12-6
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T07:23:48Z
--- license: creativeml-openrail-m library_name: diffusers pipeline_tag: text-to-image ---
[ -0.013271071948111057, -0.01103219948709011, -0.01298511866480112, 0.006393388379365206, 0.05487239733338356, 0.006083601154386997, -0.00997849740087986, 0.004421941936016083, -0.012389693409204483, 0.03527103364467621, 0.019141944125294685, 0.013385914266109467, 0.013454506173729897, 0.05...
AUBMC-AIM/MammoGANesis
[ "license:cc-by-nc-4.0", "has_space" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T08:31:42Z
--- license: apache-2.0 --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_...
[ -0.021042225882411003, -0.013212311081588268, -0.0048487866297364235, 0.02471822127699852, 0.03360352665185928, 0.037096280604600906, -0.014611630700528622, -0.0205093864351511, -0.023190723732113838, 0.05583030730485916, 0.02591235190629959, -0.023711320012807846, 0.030635805800557137, 0....
AdapterHub/roberta-base-pf-squad_v2
[ "roberta", "en", "dataset:squad_v2", "arxiv:2104.08247", "adapter-transformers", "question-answering", "adapterhub:qa/squad2" ]
question-answering
{ "architectures": null, "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": null, "num_...
51
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 ...
[ -0.03743473440408707, -0.0028507509268820286, -0.0051478976383805275, 0.025368541479110718, 0.04573287442326546, -0.021831922233104706, -0.005389970727264881, -0.028095638379454613, -0.03284216672182083, 0.0664612278342247, 0.03276485577225685, -0.023196762427687645, 0.022744908928871155, ...
Aidan8756/stephenKingModel
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T14:25:13Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: sentiment-analysis-model results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: sst2 split: validation a...
[ -0.026997247710824013, -0.010053260251879692, -0.015162256546318531, 0.05344180390238762, 0.0681789368391037, 0.02757982537150383, 0.0031668830197304487, -0.00785880908370018, -0.04707416146993637, 0.06973782181739807, 0.011301541700959206, -0.016595324501395226, 0.021702617406845093, 0.02...
Akashpb13/Galician_xlsr
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "gl", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
7
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...
[ -0.017086172476410866, -0.017103834077715874, -0.007224492263048887, 0.02997574955224991, 0.05037959665060043, -0.01637795940041542, -0.011770480312407017, -0.008982546627521515, -0.057795967906713486, 0.05496650189161301, -0.0023111291229724884, -0.010125554166734219, 0.026009775698184967, ...
AkshatSurolia/BEiT-FaceMask-Finetuned
[ "pytorch", "beit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "BeitForImageClassification" ], "model_type": "beit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
239
2023-04-23T15:38:06Z
--- license: mit tags: - generated_from_trainer model-index: - name: just-nce 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. --> # just-nce This model is a fine-tu...
[ -0.01931157335639, 0.009977799840271473, 0.00013766007032245398, 0.02686809003353119, 0.025435257703065872, 0.006311984732747078, -0.015537493862211704, 0.000744347576983273, -0.04488752409815788, 0.045334309339523315, 0.0033294756431132555, -0.049509208649396896, 0.016090234741568565, 0.0...
AkshatSurolia/ViT-FaceMask-Finetuned
[ "pytorch", "safetensors", "vit", "image-classification", "dataset:Face-Mask18K", "transformers", "license:apache-2.0", "autotrain_compatible" ]
image-classification
{ "architectures": [ "ViTForImageClassification" ], "model_type": "vit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
40
null
--- license: openrail metrics: - bleu pipeline_tag: text-generation tags: - code --- ## Text Generation Using GPT-2 in Hugging Face This repository provides an example of how to use the GPT-2 language model in Hugging Face for text generation tasks. GPT-2 is a powerful natural language processing model that can genera...
[ -0.030385395511984825, -0.008169777691364288, 0.011902268044650555, 0.051929034292697906, 0.03453097864985466, 0.02678016945719719, -0.01593555510044098, -0.01710234209895134, -0.0021216177847236395, 0.048547498881816864, 0.006114622112363577, -0.001616617781110108, 0.012237935326993465, 0...
AkshaySg/gramCorrection
[ "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
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: canine_sent_2304v1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.0201247725635767, 0.009082600474357605, -0.021509941667318344, 0.042166877537965775, 0.04134831950068474, 0.014779707416892052, -0.037826500833034515, -0.02193991281092167, -0.05412028357386589, 0.06033851578831673, 0.011808324605226517, -0.05348007380962372, 0.01078667864203453, 0.0254...
AlErysvi/Erys
[]
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: TQC results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.040496088564395905, -0.015370219945907593, -0.004906527232378721, 0.04121458902955055, 0.045865993946790695, 0.0018666606629267335, -0.019626140594482422, -0.006971853319555521, -0.029920028522610664, 0.044955238699913025, 0.009484854526817799, -0.010958302766084671, 0.03550432622432709, ...
Aleksandar/bert-srb-base-cased-oscar
[ "pytorch", "bert", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
null
--- license: apache-2.0 language: - et - en tags: - image classifier metrics: - accuracy --- # Introduction Hello, and welcome to the Estonian Bird Classifier model page! This model was created by Karl-Erik Kanal as a part of his Bachelor's thesis and can recognise 50 common Estonian bird species. # About the model T...
[ -0.026896193623542786, -0.005321837961673737, -0.004762187134474516, 0.023308653384447098, 0.07740426063537598, 0.0019522611983120441, -0.016802646219730377, 0.004170708358287811, -0.04007484391331673, 0.04488140717148781, 0.016590828076004982, -0.025076352059841156, 0.001501962193287909, ...
Aleksandar/electra-srb-ner-setimes
[ "pytorch", "electra", "token-classification", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "ElectraForTokenClassification" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
6
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...
[ -0.003942822106182575, 0.004933082964271307, -0.016567736864089966, 0.015896745026111603, 0.05748621001839638, -0.028154194355010986, 0.007360830437391996, -0.03332442045211792, -0.028757408261299133, 0.06746270507574081, 0.026174141094088554, -0.02678675390779972, -0.000974526337813586, 0...
Aleksandar/electra-srb-oscar
[ "pytorch", "electra", "fill-mask", "transformers", "generated_from_trainer", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "ElectraForMaskedLM" ], "model_type": "electra", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
6
null
--- tags: - mteb model-index: - name: universal-sentence-encoder-multilingual-large-3 results: - task: type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4...
[ -0.01676895096898079, -0.019422808662056923, -0.017580626532435417, 0.04518172889947891, 0.04733293130993843, 0.030940944328904152, -0.027559826150536537, -0.015383089892566204, -0.060036323964595795, 0.05514742434024811, 0.030636467039585114, -0.0008165435865521431, 0.01535759586840868, 0...
AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru
[ "pytorch", "xlm-roberta", "question-answering", "en", "ru", "multilingual", "arxiv:1912.09723", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
10,012
2023-04-23T17:24:12Z
--- license: creativeml-openrail-m --- # Table Of Content - [regitapf LoRA](#regitapf-lora-v1-releases) - [salmaayu LoRA](#salmaayu-lora-v1-releases) - [nfhayu LoRA](#nfhayu-lora-v1-releases) - [andrsh LoRA](#andrsh-lora-v1-releases) - [ptplng LoRA](#ptplng-lora-v1-releases) *** # **regitapf LoRA** ([v1](https://hugg...
[ 0.0007987074204720557, -0.04067297279834747, -0.020449455827474594, 0.016318492591381073, 0.0384134016931057, -0.012536139227449894, -0.016074735671281815, -0.026521781459450722, -0.026487484574317932, 0.09298314154148102, 0.019041934981942177, -0.03375237062573433, 0.008284998126327991, 0...
AliReza/distilbert-emotion
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T18:02:25Z
Quantized version of this: https://huggingface.co/ausboss/llama-30b-supercot GPTQ quantization using https://github.com/0cc4m/GPTQ-for-LLaMa for compatibility with 0cc4m's fork of KoboldAI This one is without groupsize to save on VRAM, so that you can enjoy the full 2048 max context if you have 24GB VRAM (or at least...
[ -0.049246396869421005, 0.0008583232993260026, -0.010500812903046608, 0.020145144313573837, 0.052098389714956284, 0.004613006953150034, -0.0015089146327227354, -0.006988323759287596, -0.01825536973774433, 0.009812118485569954, 0.03037448227405548, -0.01925348863005638, 0.024044089019298553, ...
Alicanke/Wyau
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T18:07:14Z
--- license: apache-2.0 tags: - classification - generated_from_trainer datasets: - poem_sentiment metrics: - accuracy model-index: - name: clasificador-poem-sentiment results: - task: name: Text Classification type: text-classification dataset: name: poem_sentiment type: poem_sentiment ...
[ 0.0048162443563342094, -0.013027369044721127, -0.01918400265276432, 0.041553154587745667, 0.03478933125734329, 0.00918651930987835, -0.01746745966374874, -0.049252234399318695, -0.03674059733748436, 0.05857422947883606, 0.010742420330643654, -0.0247658584266901, -0.0016828239895403385, 0.0...
Aliraza47/BERT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T18:12:10Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Cartpool-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.03161757439374924, 0.022583618760108948, 0.00029771862318739295, 0.01356734149158001, 0.043586522340774536, -0.01643485203385353, -0.022362710908055305, -0.019413115456700325, -0.03271976858377457, 0.08183116465806961, 0.019089573994278908, -0.006998132914304733, 0.013182380236685276, 0...
Alireza-rw/testbot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T18:17:08Z
--- tags: - autotrain - summarization language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - RoshanAdhithya/autotrain-data-finalbartmodel co2_eq_emissions: emissions: 0.5626182054167794 --- # Model Trained Using AutoTrain - Problem type: Summarization - Model ID: 51879122579 - CO2 Emissions (in grams): 0...
[ -0.021830938756465912, -0.016413073986768723, 0.006328167859464884, 0.022868171334266663, 0.029600417241454124, 0.01890462636947632, -0.043742064386606216, -0.023671364411711693, -0.0489080436527729, 0.07944304496049881, 0.02164122462272644, 0.027387581765651703, 0.021823538467288017, 0.03...
Alstractor/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
40
2023-04-23T18:47:18Z
--- license: openrail language: - tr pipeline_tag: text-generation library_name: transformers tags: - alpaca - llama - LLM - Turkish datasets: - tatsu-lab/alpaca inference: false --- Sokullu-LoRA-13b is a LLaMA-13B model fine-tuned on the translated [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) datas...
[ -0.02892298437654972, -0.007697006221860647, -0.01591227389872074, 0.04485505446791649, 0.0515119805932045, 0.0372389554977417, -0.012703919783234596, -0.001278755022212863, -0.04320866987109184, 0.07666478306055069, 0.03286322206258774, -0.04596533626317978, -0.003208606503903866, 0.01751...
Altidore/DuggFace
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T18:49:19Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.04001833125948906, 0.01550463866442442, 0.013460328802466393, 0.018299546092748642, 0.04888637363910675, -0.013712076470255852, -0.01877462863922119, -0.023928377777338028, -0.017917444929480553, 0.06775055825710297, 0.036164265125989914, -0.008215203881263733, 0.01090354286134243, -0.0...
Alvenir/wav2vec2-base-da
[ "pytorch", "wav2vec2", "pretraining", "da", "transformers", "speech", "license:apache-2.0" ]
null
{ "architectures": [ "Wav2Vec2ForPreTraining" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
62
2023-04-23T18:53:45Z
--- duplicated_from: CWrecker/Longformer-Classification ---
[ -0.02494322694838047, 0.000463232456240803, -0.011484266258776188, 0.022694198414683342, 0.07740695029497147, 0.003346832701936364, -0.004027395509183407, -0.002863131696358323, -0.01952449046075344, 0.03971416875720024, 0.04513821750879288, -0.0033131649252027273, -0.01391103956848383, 0....
AmirBialer/amirbialer-Classifier
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T19:24:36Z
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ...
[ -0.05251353979110718, 0.0016155544435605407, -0.005041617900133133, 0.049653563648462296, 0.02501390315592289, 0.030501127243041992, -0.011139273643493652, -0.021409105509519577, -0.0009142725029960275, 0.05103963613510132, 0.025546438992023468, -0.013485725037753582, 0.0066118319518864155, ...
AmirHussein/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
2023-04-23T19:24:52Z
# `vocabtrimmer/xlm-roberta-base-trimmed-en-10000-xnli-en` This model is a fine-tuned version of [vocabtrimmer/xlm-roberta-base-trimmed-en-10000](https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-en-10000) on the [xnli](https://huggingface.co/datasets/xnli) (en). Following metrics are computed on the `test...
[ -0.01900487020611763, -0.00602196017280221, 0.014618216082453728, 0.005389541387557983, 0.012620657682418823, 0.011006643064320087, -0.011819109320640564, -0.01834256201982498, -0.05269065126776695, 0.040042098611593246, 0.028294946998357773, -0.05337057635188103, -0.0022584961261600256, 0...
AmirServi/MyModel
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T19:29:08Z
--- 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...
[ -0.028734397143125534, -0.004731168504804373, -0.016656436026096344, 0.0514090433716774, 0.0360686369240284, 0.024974415078759193, -0.0016090505523607135, -0.03522010147571564, -0.02606460452079773, 0.046711090952157974, 0.027549859136343002, -0.007576040457934141, 0.01909511722624302, 0.0...
Amit29/t5-small-finetuned-xsum
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-23T19:29:31Z
# GGML Open-Assistant SFT-6 LLaMa 30B 4-bit Quantized 4 bit version of Open-Assistant SFT-6 LLaMa 30B for llama.cpp quantized with q4_0
[ -0.049609433859586716, 0.011281121522188187, -0.005089444573968649, 0.01755819283425808, 0.05213556066155434, 0.02223607338964939, -0.0008812531013973057, 0.015589197166264057, -0.025081461295485497, 0.010580179281532764, 0.023715663701295853, -0.009845898486673832, 0.0375528484582901, 0.0...
Amrrs/south-indian-foods
[ "pytorch", "tensorboard", "vit", "image-classification", "transformers", "huggingpics", "model-index", "autotrain_compatible" ]
image-classification
{ "architectures": [ "ViTForImageClassification" ], "model_type": "vit", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
21
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...
[ -0.02984100580215454, -0.005583471152931452, -0.017882125452160835, 0.05206970497965813, 0.03629375621676445, 0.026057135313749313, -0.0017770120175555348, -0.035160452127456665, -0.025977911427617073, 0.047371264547109604, 0.025756390765309334, -0.009056061506271362, 0.018133586272597313, ...
AnonymousSub/EManuals_BERT_copy_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...
29
2023-04-23T22:43:20Z
--- tags: - image-classification - timm library_name: timm license: mit datasets: - imagenet-1k --- # Model card for edgenext_x_small.in1k An EdgeNeXt image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model Stats:** - ...
[ -0.02313317358493805, -0.01972167380154133, 0.007838128134608269, 0.03230907768011093, 0.01312397513538599, -0.007906708866357803, -0.013327098451554775, 0.005359807051718235, -0.01301482878625393, 0.051251839846372604, 0.02420533075928688, -0.0056905122473835945, -0.00015869810886215419, ...
AnonymousSub/EManuals_RoBERTa_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...
4
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - billsum metrics: - rouge model-index: - name: TextSummarization results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: billsum type: billsum config: default spl...
[ 0.005791558884084225, -0.004634277895092964, -0.002013717545196414, 0.02873675338923931, 0.03354891017079353, 0.009529313072562218, -0.023566043004393578, -0.016411026939749718, -0.047556933015584946, 0.042337216436862946, 0.028964560478925705, -0.02994205243885517, -0.009263759478926659, ...
AnonymousSub/SR_rule_based_roberta_bert_triplet_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...
2
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for nest_tiny_jx.goog_in1k A NesT image classification model. Trained on ImageNet-1k by paper authors in JAX. Ported to PyTorch by Alexander Soare. ## Model Details - **Model Type:** Image classific...
[ -0.019549624994397163, -0.02029215358197689, 0.0012358786771073937, 0.035686515271663666, 0.027649158611893654, 0.006337464787065983, -0.0055033680982887745, 0.011175500229001045, 0.0058228252455592155, 0.04308182746171951, 0.022659605368971825, -0.0174564141780138, 0.0012146687367931008, ...
AnonymousSub/SR_rule_based_roberta_hier_quadruplet_epochs_1_shard_1
[ "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...
2
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 ...
[ -0.0375915952026844, -0.002389382105320692, -0.004720499739050865, 0.02555287629365921, 0.04515174776315689, -0.021514790132641792, -0.005178927443921566, -0.02768971025943756, -0.033643171191215515, 0.06648140400648117, 0.0321270115673542, -0.02318858914077282, 0.023280849680304527, 0.001...
AnonymousSub/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...
6
2023-04-23T23:41:27Z
--- license: cc-by-nc-4.0 --- This is a weight diff only. Original LLaMA-7B weights are required to use this model. Instructions for recovering the full model are here: https://github.com/jayelm/gisting/blob/main/README.md
[ -0.06551676243543625, -0.002986850682646036, -0.013299551792442799, 0.01781756803393364, 0.03543246164917946, 0.012907583266496658, -0.0010282769799232483, 0.005410198122262955, -0.017176171764731407, 0.05103565379977226, 0.05068109929561615, -0.029560141265392303, 0.027063626796007156, 0....
AnonymousSub/bert_snips
[ "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
--- datasets: - squad tags: - 'generated_from_trainer ' model-index: - name: test-bert-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # test-ber...
[ -0.009813431650400162, -0.020882820710539818, -0.021182594820857048, 0.039966046810150146, 0.054675355553627014, 0.032466016709804535, -0.035791780799627304, 0.015116319060325623, -0.022216541692614555, 0.037357501685619354, 0.03953117877244949, -0.0035213062074035406, 0.01634807139635086, ...
AnonymousSub/cline_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...
8
null
--- license: cc-by-nc-4.0 --- This is a weight diff only. Original LLaMA-7B weights are required to use this model. Instructions for recovering the full model are here: https://github.com/jayelm/gisting/blob/main/README.md
[ -0.06551676243543625, -0.002986850682646036, -0.013299551792442799, 0.01781756803393364, 0.03543246164917946, 0.012907583266496658, -0.0010282769799232483, 0.005410198122262955, -0.017176171764731407, 0.05103565379977226, 0.05068109929561615, -0.029560141265392303, 0.027063626796007156, 0....
AnonymousSub/cline_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, "...
27
null
--- tags: - image-classification - timm library_name: timm license: unknown datasets: - imagenet-1k --- # Model card for res2net50_14w_8s.in1k A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone ...
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AnonymousSub/consert-emanuals-s10-SR
[ "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...
29
null
--- tags: - image-classification - timm library_name: timm license: unknown datasets: - imagenet-1k --- # Model card for res2net50_26w_4s.in1k A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone ...
[ -0.006899199914187193, -0.03994552046060562, -0.0019013985292986035, 0.024545768275856972, 0.03146557882428169, -0.00528354849666357, -0.009912978857755661, 0.006525428965687752, -0.012052368372678757, 0.0568905733525753, 0.01960822194814682, 0.006763991434127092, 0.001653397222980857, 0.0...
AnonymousSub/consert-s10-SR
[ "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
--- tags: - image-classification - timm library_name: timm license: unknown datasets: - imagenet-1k --- # Model card for res2net50_26w_6s.in1k A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone ...
[ -0.006156704388558865, -0.039948128163814545, -0.0015809101751074195, 0.025299614295363426, 0.03139878436923027, -0.005791007541120052, -0.00990755669772625, 0.006010411307215691, -0.012502561323344707, 0.05647149309515953, 0.019572129473090172, 0.005726445000618696, 0.0009833764052018523, ...
AnonymousSub/declutr-biomed-roberta-papers
[ "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...
7
null
Access to model seungwon12/dolly is restricted and you are not in the authorized list. Visit https://huggingface.co/seungwon12/dolly to ask for access.
[ -0.05338810384273529, -0.005014803260564804, 0.007921903394162655, 0.024589313194155693, 0.06288919597864151, 0.0028654553461819887, -0.016837751492857933, 0.007778707426041365, -0.050933655351400375, 0.051559023559093475, 0.051543399691581726, -0.019382614642381668, 0.012430490925908089, ...
AnonymousSub/declutr-emanuals-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
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29
null
--- tags: - image-classification - timm library_name: timm license: unknown datasets: - imagenet-1k --- # Model card for res2net50_26w_8s.in1k A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone ...
[ -0.007421706337481737, -0.04045172035694122, -0.0013821048196405172, 0.02557598613202572, 0.030495241284370422, -0.005577945616096258, -0.008810699917376041, 0.005889215040951967, -0.012655248865485191, 0.05626114830374718, 0.019846713170409203, 0.007770809344947338, 0.0006173973088152707, ...
AnonymousSub/declutr-emanuals-s10-SR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
28
null
--- tags: - image-classification - timm library_name: timm license: unknown datasets: - imagenet-1k --- # Model card for res2net50_48w_2s.in1k A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone ...
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AnonymousSub/declutr-emanuals-techqa
[ "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...
4
2023-04-24T00:06:55Z
--- tags: - image-classification - timm library_name: timm license: unknown datasets: - imagenet-1k --- # Model card for res2net50d.in1k A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Mo...
[ -0.005576798692345619, -0.04041797295212746, -0.0012879392597824335, 0.026647042483091354, 0.0315430611371994, -0.004526515956968069, -0.00959702953696251, 0.00597782526165247, -0.011637719348073006, 0.05635739117860794, 0.02002369984984398, 0.0048073651269078255, 0.0007282765582203865, 0....
AnonymousSub/declutr-model-emanuals
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
4
2023-04-24T00:07:15Z
--- tags: - image-classification - timm library_name: timm license: unknown datasets: - imagenet-1k --- # Model card for res2net101_26w_4s.in1k A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone...
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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
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for skresnet18.ra_in1k SKNet (Selective-Kernel ResNet) image classification model. Trained on ImageNet-1k in `timm` by Ross Wightman using `RA` recipe (ResNet strikes back `B` variant). ## Model Det...
[ -0.006397775840014219, -0.028284499421715736, -0.00034831816446967423, 0.02707131765782833, 0.04010298103094101, -0.009000536054372787, -0.004404111299663782, 0.010556867346167564, -0.009532544761896133, 0.05736721679568291, 0.01853911764919758, -0.004520082380622625, -0.0060431393794715405,...
AnonymousSub/roberta-base_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
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for skresnet34.ra_in1k SKNet (Selective-Kernel ResNet) image classification model. Trained on ImageNet-1k in `timm` by Ross Wightman using `RA` recipe (ResNet strikes back `B` variant). ## Model Det...
[ -0.006343979388475418, -0.027622472494840622, -0.0008858618675731122, 0.026894738897681236, 0.03915369510650635, -0.009634052403271198, -0.0045239427126944065, 0.009356660768389702, -0.009459422901272774, 0.0575222447514534, 0.019006773829460144, -0.004965208936482668, -0.006286476273089647,...
AnonymousSub/rule_based_bert_hier_diff_equal_wts_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
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for skresnext50_32x4d.ra_in1k SKNet (Selective-Kernel ResNet) image classification model. Trained on ImageNet-1k in `timm` by Ross Wightman using `RA` recipe (ResNet strikes back `B` variant). ## Mo...
[ -0.009196978993713856, -0.026929210871458054, -0.003914590459316969, 0.028521258383989334, 0.04020807892084122, -0.007075551897287369, -0.009045413695275784, 0.0074586146511137486, -0.014117828570306301, 0.059006091207265854, 0.013481798581779003, -0.0033489197958260775, -0.00513676321133971...
AnonymousSub/rule_based_bert_quadruplet_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...
3
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for crossvit_15_240.in1k A CrossViT image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model Stats:**...
[ -0.00796995684504509, -0.03210551291704178, -0.00019543280359357595, 0.02068471722304821, 0.031515736132860184, -0.011415625922381878, -0.015930892899632454, -0.0018118408042937517, 0.0015276748454198241, 0.05254640057682991, 0.01775353215634823, -0.007094390690326691, -0.0014159987913444638...
AnonymousSub/rule_based_bert_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...
33
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for crossvit_15_dagger_240.in1k A CrossViT image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model S...
[ -0.00679375883191824, -0.02916235290467739, 0.0007073732558637857, 0.019518133252859116, 0.03571825847029686, -0.012549806386232376, -0.014718431048095226, -0.0024031358771026134, 0.0025944251101464033, 0.051376692950725555, 0.018200969323515892, -0.00767352432012558, -0.0018232503207400441,...
AnonymousSub/rule_based_hier_quadruplet_0.1_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...
4
2023-04-24T00:35:24Z
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for crossvit_small_240.in1k A CrossViT image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model Stats...
[ -0.008053545840084553, -0.030216310173273087, 0.000589971721637994, 0.019649937748908997, 0.031829625368118286, -0.01338134054094553, -0.016400275751948357, -0.0012690095463767648, 0.002262907102704048, 0.05279184877872467, 0.015956416726112366, -0.007822009734809399, 0.0002758373157121241, ...
AnonymousSub/rule_based_hier_quadruplet_0.1_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...
4
2023-04-24T00:35:54Z
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for crossvit_tiny_240.in1k A CrossViT image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model Stats:...
[ -0.00853387825191021, -0.028597425669431686, 0.00008114622323773801, 0.019906651228666306, 0.03096669167280197, -0.01340845413506031, -0.016038112342357635, -0.0020185771863907576, 0.0022840555757284164, 0.051980871707201004, 0.01606692001223564, -0.0074180737137794495, 0.0004987149150110781...
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
--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - jax-diffusers-event inference: true datasets: - ChristophSchuhmann/improved_aesthetics_6plus --- # Stable Diffusion Nano Stable Diffusion Nano was built...
[ -0.013964107260107994, -0.008490033447742462, -0.01938178762793541, 0.024009620770812035, 0.024966659024357796, 0.011973372660577297, -0.005698572378605604, -0.014960702508687973, 0.011513893492519855, 0.05056948959827423, 0.004673982039093971, -0.01633988693356514, 0.00549286138266325, 0....
AnonymousSub/rule_based_hier_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: mit tags: - generated_from_trainer model-index: - name: gptn2-txt2ARXMLv1.00 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. --> # gptn2-txt2ARXMLv1.00 ...
[ -0.03344682231545448, -0.008723367005586624, -0.018688205629587173, 0.048187505453825, 0.029979147017002106, 0.019199706614017487, -0.005047226790338755, -0.002287875860929489, -0.03462735563516617, 0.056807443499565125, 0.014889498241245747, -0.022533539682626724, -0.0024049635976552963, ...
AnonymousSub/rule_based_hier_triplet_0.1_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...
4
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: bert-s 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. --> # ber...
[ -0.017959440127015114, 0.002677622251212597, -0.03580501675605774, 0.037361614406108856, 0.042288314551115036, 0.021254831925034523, -0.024951962754130363, -0.012004249729216099, -0.05102889984846115, 0.06124086305499077, 0.02127472124993801, -0.022775305435061455, 0.01791301928460598, 0.0...
AnonymousSub/rule_based_only_classfn_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...
32
null
--- library_name: stable-baselines3 tags: - BreakoutNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: BreakoutNoFrameskip-v4 type: Br...
[ -0.03225447237491608, -0.011403284966945648, -0.012272502295672894, 0.04146827384829521, 0.03925521299242973, 0.000006135589501354843, -0.013317029923200607, -0.005434701684862375, -0.02927425503730774, 0.06197119504213333, 0.01700597256422043, -0.02937283180654049, 0.017781570553779602, 0...
AnonymousSub/rule_based_only_classfn_twostage_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...
10
2023-04-24T00:59:35Z
--- license: cc-by-4.0 tags: - generated_from_trainer model-index: - name: roberta-finetuned-subjqa-movies_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. --> # ro...
[ -0.019403260201215744, -0.02854790724813938, -0.007931149564683437, 0.038344673812389374, 0.04665011167526245, 0.03346076235175133, -0.03669343516230583, 0.009460066445171833, -0.029443448409438133, 0.04522760957479477, 0.040405455976724625, -0.018738243728876114, 0.01718742586672306, 0.05...
AnonymousSub/rule_based_only_classfn_twostage_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
2023-04-24T01:03:09Z
--- tags: - image-classification - pytorch - huggingpics metrics: - accuracy model-index: - name: street-classes results: - task: name: Image Classification type: image-classification metrics: - name: Accuracy type: accuracy value: 0.9104477763175964 --- # street-classes Au...
[ -0.0183516014367342, 0.006945803761482239, 0.019739598035812378, 0.031421102583408356, 0.024609075859189034, -0.017350710928440094, -0.026003049686551094, -0.006104716099798679, -0.024537324905395508, 0.04739842191338539, 0.023435136303305626, 0.0059433020651340485, 0.011079260148108006, 0...
AnonymousSub/rule_based_roberta_bert_triplet_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...
3
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
[ -0.038261741399765015, -0.01596718095242977, -0.014964292757213116, 0.03735702484846115, 0.04953961446881294, -0.004248285666108131, -0.01319218147546053, -0.0251694917678833, -0.033360984176397324, 0.055113598704338074, 0.02054811269044876, -0.03412111848592758, 0.01886051520705223, 0.015...
AnonymousSub/rule_based_roberta_bert_triplet_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, "...
28
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 ...
[ -0.01723896525800228, -0.014684389345347881, -0.005701419897377491, 0.023394687101244926, 0.04620673507452011, -0.0015322183026000857, -0.019329288974404335, 0.00895907636731863, -0.036237772554159164, 0.05448182672262192, 0.0180384311825037, -0.00583108002319932, 0.015491096302866936, 0.0...
AnonymousSub/rule_based_roberta_bert_triplet_epochs_1_shard_1_wikiqa_copy
[ "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...
2
null
--- license: apache-2.0 --- # D13b-2-3 [https://github.com/DreamerGPT/DreamerGPT](https://github.com/DreamerGPT/DreamerGPT)
[ -0.008825860917568207, -0.023213792592287064, -0.01210385374724865, 0.012277965433895588, 0.053368955850601196, 0.011660796590149403, -0.01337910071015358, 0.005463610868901014, -0.017399810254573822, 0.030913077294826508, 0.038612447679042816, -0.0057416269555687904, -0.005638883449137211, ...
AnonymousSub/rule_based_roberta_hier_quadruplet_epochs_1_shard_1
[ "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: apache-2.0 tags: - generated_from_keras_callback model-index: - name: toxic-comments-distilbert results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # toxic-co...
[ -0.012547848746180534, -0.00914698839187622, -0.020835917443037033, 0.0343957357108593, 0.03773549571633339, 0.022254612296819687, -0.017938625067472458, -0.018185028806328773, -0.034801922738552094, 0.052622731775045395, 0.029342571273446083, -0.0229051373898983, 0.023171821609139442, 0.0...
AnonymousSub/rule_based_roberta_hier_quadruplet_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...
6
2023-04-24T01:20:33Z
--- license: apache-2.0 --- # D7b-4-1 [https://github.com/DreamerGPT/DreamerGPT](https://github.com/DreamerGPT/DreamerGPT)
[ -0.01835901103913784, -0.010315308347344398, -0.002062911167740822, 0.015298164449632168, 0.051701098680496216, 0.009212448261678219, -0.0023999535478651524, 0.009304478764533997, -0.025478629395365715, 0.033991921693086624, 0.04443486034870148, -0.0008119668927974999, 0.01521711889654398, ...
AnonymousSub/specter-emanuals-model
[ "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...
6
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: suarkadipa/GPT-2-finetuned-papers results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # ...
[ -0.029518581926822662, -0.02760216034948826, 0.003642167430371046, 0.02961820736527443, 0.031845007091760635, 0.023817187175154686, -0.0019584852270781994, 0.005198363214731216, -0.04853292182087898, 0.05331277474761009, 0.015781929716467857, -0.019464682787656784, 0.013472575694322586, 0....
Anubhav23/model_name
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-24T03:13:31Z
--- tags: - image-classification - timm library_name: timm license: mit datasets: - imagenet-1k --- # Model card for convmixer_1024_20_ks9_p14.in1k A ConvMixer image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model Stat...
[ -0.020147938281297684, -0.0305944811552763, -0.0037477381993085146, 0.03357302397489548, 0.03420054540038109, -0.009742189198732376, -0.004290390759706497, 0.004806712735444307, -0.011687779799103737, 0.06654560565948486, 0.023640401661396027, 0.0066015105694532394, -0.003537433920428157, ...
Anupam/QuestionClassifier
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-04-24T03:13:34Z
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.045518700033426285, -0.0014071896439418197, -0.02198285423219204, 0.03263123705983162, 0.04349416121840477, 0.017943721264600754, -0.018388716503977776, -0.030632326379418373, -0.03736729547381401, 0.06910351663827896, 0.021848425269126892, 0.004117769189178944, 0.014597590081393719, 0....
gaurishhs/API
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - image-classification - timm library_name: timm license: mit datasets: - imagenet-1k --- # Model card for convmixer_1536_20.in1k A ConvMixer image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feature backbone - **Model Stats:** -...
[ -0.022461693733930588, -0.029187507927417755, -0.0015301633393391967, 0.032628133893013, 0.033704034984111786, -0.00685162702575326, -0.002968048909679055, 0.004647894762456417, -0.008802320808172226, 0.06590516120195389, 0.02543981932103634, 0.00747164711356163, -0.005956919863820076, 0.0...
Appolo/TestModel
[]
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 --- # MzPikas TMND Enhanced ![00002-3533137131.jpg](https://s3.amazonaws.com/moonup/production/uploads/63d260547bec3be0c3e82402/ulIKsnXF7Ho1KlA1nARCA.jpeg) ## experimental Attention Agreement Score merge model Using the sum of negative DAAM cumulative attention scores from teache...
[ -0.022974884137511253, -0.02863498590886593, -0.013459935784339905, 0.03343507647514343, 0.036895014345645905, 0.017004234716296196, -0.013413668610155582, -0.01640099659562111, -0.0020112874917685986, 0.07285639643669128, 0.03900432214140892, -0.025897208601236343, 0.014547360129654408, 0...
ArBert/roberta-base-finetuned-ner-agglo-twitter
[ "pytorch", "tensorboard", "roberta", "token-classification", "transformers", "generated_from_trainer", "license:mit", "autotrain_compatible" ]
token-classification
{ "architectures": [ "RobertaForTokenClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_...
12
null
--- language: - nl license: mit tags: - 1.1.0 - generated_from_trainer datasets: - facebook/voxpopuli model-index: - name: SpeechT5 TTS Dutch neunit results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete...
[ -0.019978241994976997, -0.018274007365107536, -0.01499145943671465, 0.032962650060653687, 0.030963001772761345, 0.04434029385447502, -0.007345553953200579, -0.013104931451380253, -0.025774573907256126, 0.058535534888505936, 0.03065970353782177, -0.02354678139090538, 0.022989127784967422, 0...
ArBert/roberta-base-finetuned-ner-agglo
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: distilbert-base-cased-distilled-squad-finetuned-lr1e-05-epochs20 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
[ -0.024719106033444405, -0.0007721976144239306, -0.033487606793642044, 0.03858291730284691, 0.05348769947886467, 0.009564997628331184, -0.033092111349105835, -0.007460373919457197, -0.041165705770254135, 0.05177295580506325, 0.020826026797294617, -0.026422912254929543, 0.020044434815645218, ...
ArJakusz/DialoGPT-small-stark
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2023-04-24T03:33:47Z
--- tags: - espnet - audio - text-to-speech language: en datasets: - jtang1 license: cc-by-4.0 --- ## ESPnet2 TTS model ### `tjysdsg/11692_cyclic_asr_tts_gumbel_softmax_init` This model was trained by Jiyang Tang using jtang1 recipe in [espnet](https://github.com/espnet/espnet/). ### Demo: How to use in ESPnet2 `...
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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
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for coat_lite_small.in1k A CoaT (Co-Scale Conv-Attentional Transformer) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification /...
[ -0.03043965809047222, -0.02076147124171257, 0.003032328560948372, 0.036578208208084106, 0.038455840200185776, -0.001818961463868618, -0.00874765869230032, 0.004705161787569523, -0.020648103207349777, 0.04939071089029312, 0.015245768241584301, 0.0032390491105616093, 0.0013859346508979797, 0...
Aravinth/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for coat_lite_tiny.in1k A CoaT (Co-Scale Conv-Attentional Transformer) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / ...
[ -0.0310225747525692, -0.020017705857753754, 0.0023432355374097824, 0.03618718311190605, 0.03883673995733261, -0.0014511658810079098, -0.008835811167955399, 0.0034781598951667547, -0.020896676927804947, 0.04784009978175163, 0.016109894961118698, 0.004558459855616093, 0.0031335018575191498, ...
Arcanos/1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for coat_small.in1k A CoaT (Co-Scale Conv-Attentional Transformer) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / feat...
[ -0.028314225375652313, -0.023125384002923965, 0.0032653703819960356, 0.0384463369846344, 0.03640265390276909, -0.0030064736492931843, -0.007966765202581882, 0.003492417512461543, -0.02149159274995327, 0.04927406832575798, 0.01539598684757948, 0.003733352990821004, 0.00063585105817765, 0.03...
Archie/myProject
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - image-classification - timm library_name: timm license: apache-2.0 datasets: - imagenet-1k --- # Model card for coat_tiny.in1k A CoaT (Co-Scale Conv-Attentional Transformer) image classification model. Trained on ImageNet-1k by paper authors. ## Model Details - **Model Type:** Image classification / featu...
[ -0.029371006414294243, -0.022055426612496376, 0.0034360159188508987, 0.037172358483076096, 0.03749970719218254, -0.0019260217668488622, -0.008537007495760918, 0.0025097739417105913, -0.020469030365347862, 0.048371173441410065, 0.014714764431118965, 0.004045066889375448, 0.0021922672167420387...
AriakimTaiyo/DialoGPT-cultured-Kumiko
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
2023-04-24T04:51:52Z
# 经过本人合成及量化的 7B/13B 模型 <hr> > #### 开这个仓,主要是为了给大家讲述使用方法,这玩意儿真得自己摸索啊。 ### 直接使用方法 移动本仓库中的 `llama-7b-hf` 和 `llama-13b-hf` 两个文件夹,到你项目的 `./models` 文件下即可。该文件夹同时适用于 `llama.cpp` 和 `text-generation-webui`。 ### DIY 使用方法 以 7B 为例: 1. 在 models 文件下新建名为 `llama-7b-hf` 的文件夹,注意,此名字不可以随意修改 2. `llama-7b-hf` 下只需要有两个文件:`config.json` 和 ...
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