artifact_id string | namespace string | value string |
|---|---|---|
artifact_33a575d533102e4bbc4e91b2b3c7374a289f56c6572cb03fc685b8247b970b49 | huggingface:model | anas-awadalla/bert-base-uncased-few-shot-k-64-finetuned-squad-seed-4 |
artifact_33b14dc6d8ce0844ed515f0ad0f92f523cae8ebae618f97aa9fa004ebbfe8aba | huggingface:model | AKulk/wav2vec2-base-timit-epochs5 |
artifact_33ba41e2be3a51c3bcacc5a5aaf34fa01b32e1de4e5489c878ca957a494cb143 | timm:model | vit_medium_patch16_rope_reg1_gap_256 |
artifact_33c5bcefe2343ae1d05b0f71f861682f04f848f7fab7ba4e178395897f09a447 | huggingface:model | anas-awadalla/bert-base-pretrained-on-squad |
artifact_33ceb1480c8e35fcdcffeaba26fdc41378045d4d2b6db04cd253e9e1735c5246 | huggingface:model | PaulLerner/multi_passage_bert_triviaqa_without_viquae |
artifact_33d13445fea66cdbb5ab5a5ca4429b07afc06b7ce9f5250eef893272a960c90b | huggingface:model | Davlan/bert-base-multilingual-cased-finetuned-luganda |
artifact_33da35d5b54696d46651184c4db1a69f1b9d574f5e968bb8b5e7cdc8ea4630b5 | arxiv | 2006.03654 |
artifact_33da35d5b54696d46651184c4db1a69f1b9d574f5e968bb8b5e7cdc8ea4630b5 | huggingface:model | NDugar/v2xl-again-mnli |
artifact_33da35d5b54696d46651184c4db1a69f1b9d574f5e968bb8b5e7cdc8ea4630b5 | huggingface:model | front/thumbnails |
artifact_33e2322b049516fd2a78868990d5162d6cde87d5202a68a6cf30299d09bfc102 | huggingface:model | adam1224/dummy-model2 |
artifact_33e240f46bded2427e2fd063f2741f3a10d9f296a360bbfa94d90500ab6897ab | timm:model | regnetx_120 |
artifact_33f9415f00516e0a9fa99d1896c69c2ed10d6f306a430a6856fb63d660fc7c87 | huggingface:model | Helsinki-NLP/opus-mt-en-nl |
artifact_340752ebbdde48c108d03fab599588200ef8a79c1acce5caab3fa540ecae77a0 | arxiv | 2204.00618 |
artifact_340752ebbdde48c108d03fab599588200ef8a79c1acce5caab3fa540ecae77a0 | huggingface:model | Edresson/wav2vec2-large-100k-voxpopuli-ft-Common_Voice_plus_TTS-Dataset_plus_Data_Augmentation-portuguese |
artifact_340c40807eb5d7923137c57b23e9587592ad54d1294b791efa1434474fb4f004 | huggingface:dataset | Babelscape/wikineural |
artifact_340c40807eb5d7923137c57b23e9587592ad54d1294b791efa1434474fb4f004 | huggingface:model | Babelscape/wikineural-multilingual-ner |
artifact_340df41cd0ab87cb1c3d69572c245c999d4e82d6871940d88f937e845f7bcbf9 | huggingface:dataset | albertvillanova/autonlp-data-wikiann-entity_extraction-1e67664 |
artifact_340df41cd0ab87cb1c3d69572c245c999d4e82d6871940d88f937e845f7bcbf9 | huggingface:model | albertvillanova/autonlp-wikiann-entity_extraction-1e67664-1301123 |
artifact_3416627ff4ae3c30ed5a9c7d744d5cca541bd193d3c6fc93375598e2d65c2440 | huggingface:model | Ebtihal/AraDiaBERT |
artifact_34236e343058fd25c3b306d86f97982b505f5761aa0d3d24035d02de1b198df8 | huggingface:model | TurkuNLP/wikibert-base-sr-cased |
artifact_3425f8432ed80a996ab4416e58f87839cb3ad4e18ed24da594da3d8fcb50d0b7 | huggingface:model | AnonymousSub/AR_rule_based_roberta_twostagetriplet_epochs_1_shard_10 |
artifact_342c5f58cbafd8d6b6eff4668e07b5fb17d754c321ae4830a9315a7c9df2e484 | huggingface:model | NbAiLab/wav2vec2-xlsr-300m-test |
artifact_3438744c36928af59cbee265d1d22c188a0f15d5280cba41008a523cccaf5183 | huggingface:model | TehranNLP-org/xlnet-base-cased-avg-mnli |
artifact_343894f4a0e454f54cc70bbc0a61ba2ba0020ee614db2bf28c98564c26d3b822 | huggingface:model | abdouaziiz/bert-base-wolof |
artifact_343dcad802ee66d382d993d92ad75287745519a2259e5c95ccbe480a87ae7773 | huggingface:model | SetFit/distilbert-base-uncased__sst2__train-16-8 |
artifact_3455f797fd20fdd9b097e0c767f1a0abbcd49691cc87574cfa465012df01f13c | huggingface:model | CodeNinja1126/bert-p-encoder |
artifact_3456d02dfd4a066630194b3bdba28ccad716f01e73e260a55ca3748e7c863b61 | openrouter:model | tencent/hunyuan-a13b-instruct |
artifact_345c0f6b8fa89064af335744cdc9966cfe2951eb0c79ab273fae8779ec42c44b | huggingface:model | Helsinki-NLP/opus-mt-ar-tr |
artifact_345c6507c5bb16f65f519420f7c9e58c6279be0621f499d027ff85d506723811 | huggingface:model | Ritvik/nlp_model_mini |
artifact_345cae0af7ef13d8c6307ae544727fbaa245dbd5ec88cc55dea12414308da95d | huggingface:model | AndrewMcDowell/wav2vec2-xls-r-1b-arabic |
artifact_346dc7397d2c6c79b7d651d192f6d0979db85ca66765efb09857404bc8404828 | huggingface:model | PubChimps/dlfBERT |
artifact_346ed329757884c7fb73308e2fe68c30d526d5ab4bdd7008cd68c855338167fc | huggingface:model | Gantenbein/ADDI-CH-RoBERTa |
artifact_347d3ba69d6e3f8ffd9ef40e4aacee0ed9c62d5cf16e261f255b06a9320d09ac | huggingface:model | Violeta/ArmBERTa_Model |
artifact_347d4cecb90b3c1993f95cfa6ac8e14d94e498189948050375900958fb898531 | huggingface:model | KoichiYasuoka/roberta-base-thai-char-upos |
artifact_347e6cc72bfbe3aaba31da4ecbb066374f90168f363b4396403ab0e53fdc87ca | huggingface:model | DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-12 |
artifact_348fd458f54f76bd14b607a83b7147e05442984619a6e9554e6024aafd1a9f55 | keras-hub:preset | keras_hub/src/models/pali_gemma/pali_gemma_presets.py:backbone_presets:pali_gemma_3b_224 |
artifact_3494a89cebea70f0c23eecc46999bc88cc60d351d97f9fd7b27dbd2cb1589a1e | wikipedia:page | 40409788 |
artifact_349986a8338628be54055b92ff93871cac3697699d17b07a72cb55feb496f621 | huggingface:model | Helsinki-NLP/opus-mt-fi-pap |
artifact_349c7cec1d7bc2a7abfeff823fc7afb65fa946636d27f64a8793fd1beb094160 | huggingface:model | SEBIS/legal_t5_small_trans_es_sv_small_finetuned |
artifact_34a2669e7bac13e7f804b790cc0ecb7ba4ffd96a6eecb9419873796eff6db70e | huggingface:model | Aleksandar1932/gpt2-hip-hop |
artifact_34b1c9fb3f0064d0176d16f984b65dccc846e2baece0d65ff7eb52e3cdd453c7 | keras-hub:preset | keras_hub/src/models/dinov3/dinov3_presets.py:backbone_presets:dinov3_vit_small_plus_lvd1689m |
artifact_34b2c5cb3de1965cdfcbcae731496ccfcefb9b5654be6f54d0756d83fe8565dd | huggingface:model | Kyuyoung11/haremotions-v5 |
artifact_34b54013793b3d70369aa723959fe2995fa6a8442392fe41b7b906e9d9057aa6 | huggingface:model | Jeevesh8/multiberts_seed_2_ft_1 |
artifact_34bb3a584c4acf381eef761a494850cb0b86784228491817d0adf74bad09d0c1 | huggingface:model | Helsinki-NLP/opus-mt-fi-gil |
artifact_34c16ccf3438f3e5fc028ddfcb5ab2863531640541ced88044404216c61b13b4 | keras-hub:preset | keras_hub/src/models/mit/mit_presets.py:backbone_presets:mit_b2_ade20k_512 |
artifact_34c2c304190994d397fb2ee377974c4b72b84474f21f783480cbfc929fad13a8 | timm:model | mobilenetv5_300m_enc |
artifact_34c34d4b4755c9bdcd4d158714696355fe9f95614afe93d61704bb278aa29e75 | huggingface:model | Helsinki-NLP/opus-mt-az-tr |
artifact_34c5250d0dee33451896266f2f219021d488fb61f605b058127004fcd748ade9 | huggingface:model | alireza7/ARMAN-SS-100-persian-base-tebyan |
artifact_34ce6fe10d721dad0fc3a35598f292e23b37a88ef1f45c3f497d9a2e43cc8f1a | huggingface:model | 123www/test_model |
artifact_34d10d444bc182f803a89eee2dff99fb954d2503568b9a8b9a3cbacad3f25c4a | timm:model | mobilenetv2_050 |
artifact_34d28364bacf182fb8ffba645e051d599194b7af1bd59c15c3af6019979eea6c | openrouter:model | openai/gpt-transcribe |
artifact_34d29c679b620b674af5f789d57a09499b6a8f017ab9c09880cfa5d53c19204c | huggingface:model | Titantoe/ccmatrix-15-85-finetuned-de-to-is_ancc_shuffled_2 |
artifact_34d45cffc503148aeb00bba4fdc964a1132c1925fe5b9a1536745a28ec48da5e | huggingface:model | Gantenbein/ADDI-DE-RoBERTa |
artifact_34d7380bfba1effe65e7bf4b5a073c2141775755a47f134dc3039ada97cfac81 | timm:model | vit_large_patch16_lingbot |
artifact_34de50feec848362bba0843911cec05f12398f6df5d131963dfc2fdbf03f873d | huggingface:model | Helsinki-NLP/opus-mt-ht-es |
artifact_34e35ddd96001df4277134529667e073fecf84bd6ade1a72c7a30051ecf4c58b | modelscope:model | google/gemma-4-31B-it |
artifact_34e3937ae8ba5051724cfbf12b3cbec7afd5c81fc3888bbae9583996f749377c | huggingface:model | Andranik/TestQA2 |
artifact_34ef67d26731d718eef67345cb08626784efa4fa7002145edfa7721cfdfe8235 | huggingface:model | Helsinki-NLP/opus-mt-ar-en |
artifact_34f5ed2e0ebefdb08a54e1fc105c26bc294c453e32214ce50485969f749c8ca2 | huggingface:model | Helsinki-NLP/opus-mt-ru-vi |
artifact_34fa5c8092a29103a3cc52193feb2106f7b6772749bf40054be9b8f42700ab04 | huggingface:model | AriakimTaiyo/DialoGPT-small-Kumiko |
artifact_34fd988d6f341c4d913dd110dcf561c5c8b53be8c0321cf1a9417c6834fe9c76 | modelscope:model | black-forest-labs/FLUX.2-klein-4B |
artifact_3509d7cdb4493ea7f3adf80aa51d3376dee422c7a49843938947225c26d26f05 | huggingface:model | T-Systems-onsite/cross-en-nl-it-roberta-sentence-transformer |
artifact_3515786fcac22d18700dfeeafc3dfdc5abd718411d5b709df9b80d1cb53bf560 | huggingface:model | Piumi/DialogGPT-small-harrypotter |
artifact_351628fe1ee3a7a722b73d19046b966526048669e3e3fbc198bf4adfdb4cffae | keras-hub:preset | keras_hub/src/models/dinov3/dinov3_presets.py:backbone_presets:dinov3_vit_7b_sat493m |
artifact_351ecb97e683d42f4b7bc0f4badf8c0f6222e70a036354330de0df2eccb880ac | huggingface:model | google-bert/bert-base-cased-finetuned-mrpc |
artifact_35280a8b4a3f844a1755d112612e715f7d55a91a2451cdee89dcb6c2f9494064 | huggingface:model | Pyke/bart-finetuned-on-patent-Deepspeed-Test30 |
artifact_352cfcd5c1169e6f4f821a86d44f5bd9bdedd89dc911d29bee3cf5a3a55b2c6d | huggingface:model | afonsoceiia/distilbert-base-uncased-finetuned-squad |
artifact_352d0df36752fc131aefd4e74b99eda02dc649c27a71eae27c06c9ce71407c7e | timm:model | vit_dlittle_patch16_reg1_gap_256 |
artifact_352e7bbcbcfcb4f2c8b1cab2502f928b8b69e7531e83065e08a0eee9adcb0161 | huggingface:model | ali2066/finetuned_token_itr0_0.0002_editorials_16_02_2022-21_07_38 |
artifact_3531242132abd6886610bb7e23775aa944c1450f19beafb967a88aba1e2e2985 | huggingface:model | Photons/dummy_model |
artifact_3537ecf6775063b1f34ca7833bb44cf66ba7c5148b92d2fc02ade541c09a0c2d | huggingface:model | Brayan/CNN_Brain_Tumor |
artifact_353bbb3dc7ff35b0f82a04722535970ab3fb99d729241a1974c368042ecfcc07 | huggingface:model | Jeevesh8/multiberts_seed_3_ft_1 |
artifact_35460eda8a5003994d28d649e51b959e35208a6180b32706ce7037f874d00bb0 | huggingface:model | SEBIS/code_trans_t5_small_transfer_learning_pretrain |
artifact_354ac128b8d0105cda675e032f4c80db93e2c3ef142520b5e8730c13408c90b6 | huggingface:model | ShengdingHu/adapter_t5-base_qnli |
artifact_354da61f7d1694990f776eadfe0b2ccaf9c6a10ad4e56a27c3306866008dfb10 | huggingface:model | StephennFernandes/XLS-R-300m-marathi |
artifact_354daba58428a2af28d19037d416b457d97f368d1b1d2059b470c544a344b96a | huggingface:model | AnonymousSub/declutr-roberta-papers |
artifact_35591ed36b544069f5f16b4ac666062136473dc8934bb5f549bbbdb71f7be2e4 | arxiv | 2202.08904 |
artifact_35591ed36b544069f5f16b4ac666062136473dc8934bb5f549bbbdb71f7be2e4 | huggingface:model | Muennighoff/SGPT-125M-learntmean-nli |
artifact_356356efaf5b3b8a11178f0e51d5dd3317dcb960d8017c888e903dadc1e38793 | torchvision:weight-enum | EfficientNet_B6_Weights |
artifact_3566c5f20d62a5c141700ef4b896a9d6b8faa6f8e5215b7ef81ae3c4920e40b3 | huggingface:model | Cilan/dalle-knockoff |
artifact_3566fe3bb8f2dfbcb08e7b4380e60edf75d071b61a380f9e9cdb6eade8e8407e | huggingface:model | Taekyoon/dpr_question |
artifact_3568222a389b9c2941fdb292e5599bc522cf5d6956717c3609b794b2c25004d0 | huggingface:model | Theivaprakasham/layoutlmv2-finetuned-sroie |
artifact_356c7e1203b98dc825baf3f0fed102438277fd774784b45f07626b4fe9569442 | huggingface:model | MicroTurtle/DialoGPT-medium-shawn |
artifact_356f1ade5e59490aa05ca0fc96dc8e97be35da7a6a29ec34a13fcfb45696daa7 | huggingface:model | TheDiamondKing/DialoGPT-small-rick-and-morty |
artifact_35719cc9de85bee59275eb6059dc796715cec0c1291554f8c80372a6eeec364c | huggingface:model | anas-awadalla/roberta-base-few-shot-k-1024-finetuned-squad-seed-0 |
artifact_3572b24b27a959b76b7f5a8250d7476b939d21a429855fb20b9d1b7a26218a85 | huggingface:model | Helsinki-NLP/opus-mt-nso-es |
artifact_357411a7ccb9ad7d4f7c233dd25d1ff94642898852298eb65ffe04a5141c3e3c | keras-hub:preset | keras_hub/src/models/mixtral/mixtral_presets.py:backbone_presets:mixtral_8_instruct_7b_en |
artifact_35791f4422ed2da36876a7d920ea0b5ed25ad429d2ca425a94e93e419b9f2589 | huggingface:model | BigSalmon/GPTNeo350MInformalToFormalLincoln2 |
artifact_3584e359aafbb498f1bf85844e723e5036e3c3a5ee517b7677b56392acedb6ea | huggingface:model | Helsinki-NLP/opus-mt-es-efi |
artifact_35889852ae0b5efd897e1b61c82150a6dba6b7a13684879331e1714f8b6e7798 | huggingface:model | Ebtihal/bert-en |
artifact_3589c53b65e5dd1b66a8d126f9dedd00302e5875a7d1cb39fe1b1c6a28f7aa29 | huggingface:model | SetFit/deberta-v3-large__sst2__train-8-1 |
artifact_358d0b24dba502466e8874bd2a8b02d3a98b51aeb6619986a78491e0164db576 | keras-hub:preset | keras_hub/src/models/vit/vit_presets.py:backbone_presets:vit_base_patch32_224_imagenet21k |
artifact_35911201ad327523ba90a69689f8db6c19c98142666808e24010618e681fe497 | openrouter:model | qwen/qwen3-vl-235b-a22b-instruct |
artifact_359196e1d7dc0c67e068a74d1c597574cb621c3d830f7e26c2554360629dac03 | huggingface:model | Teepika/Sentence-Transformer-Fine-Tuned |
artifact_359b3eab6c48b32ab781483abaad2a5588304d09c7a2745978b5dbed44155888 | openrouter:model | google/gemini-3.8-flash-lite-tts |
artifact_35a1b391f1a9fced624b04da8983d8a05a983fd2da8eb2146e1670495480b91a | huggingface:model | af-ai-center/bert-large-swedish-uncased |
artifact_35a22044baa9e3f0c71e151b85420d0f6043933f89066db4d0a89aebf3329ae8 | huggingface:model | Helsinki-NLP/opus-mt-fr-to |
artifact_35a8dcb5fb5374921b71aa646f91352b874ebaa9f8f1e39d71d9151789839493 | huggingface:model | Biniam/en_ti_translate |
artifact_35b0bd80f4f9a00b09974d47304ac0906c30736203798126738d036dc06e59a0 | timm:model | vit_small_resnet50d_s16_224 |
artifact_35b98c07034b60504169fe022d2a98c1f31271cb9bd6782279e9aff1f8cdf817 | modelscope:model | meta-models/Muse-Glimmer-30B |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.