artifact_id string | namespace string | value string |
|---|---|---|
artifact_0633a366f13b92ef2762a7d609f7751b78d393b4b8c86f4e03845a887a6aac84 | huggingface:model | AnonymousSub/AR_SDR_HF_model_base |
artifact_06347e7d8ea06d2384a1b66fb3f1e803ed9fbb82b5926e5ce83d6b828fe7536d | timm:model | nfnet_f0 |
artifact_0637d0d1ed415524db54a8b7c106b24831094526c0bc956a2e38dfaafb490a5a | huggingface:model | abdelkader/distilbert-base-uncased-finetuned-emotion |
artifact_0639716e360ecba44f80dc44a60f2ad1a8b599ead558978ae544a05a8c04aa0b | huggingface:model | Santiagot1105/wav2vec2-large-xlsr-finetune-spanish-col |
artifact_063ba27683699d399c1345713ea816eaffcc1d34d6ed2d08323a6c84d6326b9e | huggingface:model | MiBo/SADistilGPT2 |
artifact_063ef15b9998ca36916ce174fc7d46929856fe794f3bd28526597ed09c324eef | huggingface:dataset | allenai/c4 |
artifact_063ef15b9998ca36916ce174fc7d46929856fe794f3bd28526597ed09c324eef | huggingface:model | Wikidepia/IndoT5-base |
artifact_0642fe694461007f2cb4a9b4d674c1b7090e10c448539650fc8d264f772aaf8d | huggingface:model | Helsinki-NLP/opus-mt-ja-hu |
artifact_0646c4a9382737d1d2ba61c7e50b6fbce307fe46048a3c9cfc1dd16429aea0e3 | openrouter:model | qwen/qwen3.8-27b |
artifact_064d9f31af27137b2a3c1670f4f0914c00df19109eba8bdc803b8b6bae0dfe58 | timm:model | tf_efficientnetv2_m |
artifact_06553b22af8d1a611e8af628eebb04a83ac6ce9fb6432d7d01446af444fd9cf7 | openrouter:model | z-ai/glm-5.3-prime |
artifact_065a7f6eaafee70b14b860c48a401fd1d2064639d2c34ad186a4502231eea97a | huggingface:model | Helsinki-NLP/opus-mt-zh-he |
artifact_06629eba7de92c098ec980b5205c5e3dc2a8e01ede4cab7e54acaeac6dd65abe | huggingface:model | EhsanAghazadeh/electra-large-lcc-2e-5-42 |
artifact_066538dfa7114972e1979053c251e84d18f0dd8b0f987dc4c6984b1378272a41 | wikipedia:page | 77802751 |
artifact_066ba5edf0bd8a0c5d5e90688660c6219d7cf16552276bb5b673b0cd5b7be57b | huggingface:model | S34NtheGuy/DialoGPT-medium-Mona |
artifact_066d516c8aa7a527d18d8ccac00288f839846f7a11695170f04d4bdca1f79273 | huggingface:model | Suzana/new-york-tokyo-london |
artifact_066fa9b51a55101e827cd941efa965cf958bb9a1da1d2528a8dd7597a50f98ba | huggingface:dataset | allenai/c4 |
artifact_066fa9b51a55101e827cd941efa965cf958bb9a1da1d2528a8dd7597a50f98ba | huggingface:model | Wikidepia/IndoT5-large |
artifact_067507988e38b32dbed5d2233b2d1275ab09d5bb61913620d2a81e55b587d0db | huggingface:model | MickyMike/6-GPT2SP-talendesb |
artifact_0679860f7b7d908a3b0c96b4966dbf77ff6afa329a78fe67472513005cda0466 | huggingface:model | TaahaKazi/bert-joke-identifier |
artifact_067b6bf5561dc5d3679e68a3f956f9ac20d14d8abf0359713eec9cfb6478c352 | huggingface:model | Helsinki-NLP/opus-mt-es-yua |
artifact_0683137bdaadd7235f3a06b363ee2c92b43306ec9da2973d08381ba585a6380d | huggingface:model | alexcleu/wav2vec2-large-xlsr-polish |
artifact_068485ccdbdaf9e1f79a1b11eacfe8b6a4921d04cbfe508cdec309f9f98eab1c | huggingface:model | Weiqin/roberta-large-finetuned-race-roberta |
artifact_06898e04d4a02e2e8d259717648433c82e8edb01352190056e453f981b876e19 | keras-hub:preset | keras_hub/src/models/d_fine/d_fine_presets.py:backbone_presets:dfine_xlarge_coco |
artifact_068cac05869f1e2c08362c27c85724ffc312ad5674726287818c36ba81d360b4 | arxiv | 2106.16163 |
artifact_068cac05869f1e2c08362c27c85724ffc312ad5674726287818c36ba81d360b4 | huggingface:model | MultiBertGunjanPatrick/multiberts-seed-4-400k |
artifact_068efc3ce9efba43e1f7c28e3c3aeefbf0a6e2a58941cf8e340c2f5fcf1e390c | huggingface:model | SparkBeyond/roberta-large-sts-b |
artifact_06989b470255dde53388381a154068a607859809bd947ceb4c6d09e48f88c882 | huggingface:model | IlyaGusev/rubertconv_toxic_clf |
artifact_069929a8c384ee1d642d582408151b2f234d6aea6f7b6d024d6db1542b7018f9 | huggingface:model | activebus/BERT_Review |
artifact_06aadb771df03f2173697ecc457d8ad08a578f7dd834ae9801fe16dc50967d70 | timm:model | mobilenetv2_120d |
artifact_06ad640693127ac0ef0160ed28b8b8dc03a31bffc1f5522a4fc239aef3ce6c4c | huggingface:model | Ghana-NLP/distilabena-base-v2-asante-twi-uncased |
artifact_06af83752f432777e03ec12000dcccf615d6d58eb0a77e25f87e76c20fdbeb9c | huggingface:model | anas-awadalla/bert-base-uncased-few-shot-k-1024-finetuned-squad-seed-8 |
artifact_06b335042250d730520beb81718340a0a61c6fff6f38f50647914e7d45b0d5ed | keras-hub:preset | keras_hub/src/models/t5gemma/t5gemma_presets.py:backbone_presets:t5gemma_xl_xl_prefixlm |
artifact_06de2d706f43079489b41788a42ab629dca6c8ec3b3a9cba08da71b27cd5de03 | huggingface:model | Helsinki-NLP/opus-mt-sv-uk |
artifact_06e8d9c2b92113375a372d1fe228667a4d79463c4d3743663b83bb6ed9e3aa22 | huggingface:model | Helsinki-NLP/opus-mt-en-ROMANCE |
artifact_06eb916a59000d1fac87e10e8d0b7534204df4ba15ac32de19bee3642d846f17 | timm:model | swiftformer_s |
artifact_06fd2b25817d198df29c9d9f1fcc7dbb1c49bbe22816b5b4fa87b28904630a47 | huggingface:model | Sedge/DialoGPT-small-Sedge |
artifact_07025eed6fc07bd2f1e88b73a59f5cd781b6b2ce2ad6e5850b0605e8b64afbd6 | timm:model | pvt_v2_b0 |
artifact_0711beb62ddbee55cc558e36ce75d6e990588be2521452d26eee9ae176d67e2c | huggingface:model | KrispyIChris/DialoGPT-small-harrypotter |
artifact_0713383e5c4945250e41a6596d1be7daea07f226152cc58f43851d408fa32f11 | timm:model | mixer_s32_224 |
artifact_0719af45075ad83c191a2007679faeee6d47b0a1079dcb48368f8f7334fa3d37 | huggingface:model | MickyMike/000-GPT2SP-talenddataquality-appceleratorstudio |
artifact_071bfbbc6dee9a7f7cee9fa69f4e103ed66ad7cf2dce6b55f04da84c1745306d | openrouter:model | openai/gpt-4o-mini:batch |
artifact_0726e71191de2ac3833bcd967d592390a69f5b8671d39c1b788734e53b8fb40d | huggingface:model | Helsinki-NLP/opus-mt-cs-fi |
artifact_072cfd7e9a9b48e89e012c0c505526b2647a92011a23336acd7873f3dd2e0bf8 | huggingface:model | Helsinki-NLP/opus-mt-fr-he |
artifact_073c8d4546e592038db9a15252c292d7654a1d21a1054aa71be52f16cfe75090 | timm:model | efficientnet_lite3 |
artifact_073dc02f22ce4aa651bca9f812a91700b4651dd4bd8fb3eb27461781c2d684da | huggingface:model | Ayham/distilbert_bert_summarization_cnn_dailymail |
artifact_073f530eff4405ad67c10ce32685dfd191e8e5adc8afadb04ea044f9cd79c4c8 | arxiv | 1810.04805 |
artifact_073f530eff4405ad67c10ce32685dfd191e8e5adc8afadb04ea044f9cd79c4c8 | arxiv | 1910.01108 |
artifact_073f530eff4405ad67c10ce32685dfd191e8e5adc8afadb04ea044f9cd79c4c8 | arxiv | 2111.05754 |
artifact_073f530eff4405ad67c10ce32685dfd191e8e5adc8afadb04ea044f9cd79c4c8 | huggingface:model | Intel/bert-base-uncased-sparse-90-unstructured-pruneofa |
artifact_0745c9cdb337781fc6b779a9751a226b7cff3da5967984e7c799c604854d6947 | keras-hub:preset | keras_hub/src/models/gemma4/gemma4_presets.py:backbone_presets:gemma4_instruct_26b_a4b |
artifact_074ad34b301fb1c58a21b09f46870ef78bec4d36cee779b0dfdd1b91ff0b294f | modelscope:model | Qwen/Qwen3-VL-32B-Instruct |
artifact_074f0f22cc55ff8ef754f926963a4ff934cdac9928bef2e356e2e83ddea6ae92 | torchvision:weight-enum | FasterRCNN_MobileNet_V3_Large_FPN_Weights |
artifact_075161761fe21407239cf74d9d470a8ef1ab5d8d6e808ea448ebae7beda0d29e | huggingface:model | TalTechNLP/espnet2_estonian |
artifact_075dcb412277a958656085eca61b87d402045d77699d78a0d9645d7aafc8dcce | timm:model | vit_medium_patch32_clip_224 |
artifact_0769c7929c0e64641e547bc5a28c8d513d1247b281dcc766fa5b0c6f42bce021 | keras-hub:preset | keras_hub/src/models/gemma/gemma_presets.py:backbone_presets:gemma2_9b_en |
artifact_076deff4759c3260a9bf15865b85785b6debf6613a6162e960a14089786dc65a | huggingface:model | akshara23/Terra-Classification |
artifact_077217b213ec468fb9462cf0c016974fb0ef9a0c0d5d531a1134a4d37362f688 | huggingface:model | alireza7/ARMAN-SS-80-persian-base |
artifact_07777293b03bc7c324594472fb3f4ea8e91861979abf661e6ba91cba3096f7f3 | timm:model | swinv2_cr_base_224 |
artifact_07802f1ea0cf6169dfb8b3036ff3c04441e4fe18c2ebdb3c2a415eee0b0dcebb | timm:model | resnetv2_50d |
artifact_0780f59704d0d5bdc9f674c51ab091678bfb974ccda13d44f122cdf81590bffa | huggingface:model | AlirezaBaneshi/testPersianQA |
artifact_078627c54cdc707ff4471265be4dbe291602a97f331e06f6e2f7be2cd15687b8 | huggingface:model | Motahar/bert-base-cased-mahtab |
artifact_078d1b2dabdc0dd2ec8202cf7d3400649f7f227650281761cdd8720f2a2ef84e | huggingface:model | ELiRF/NASES |
artifact_079966b9ff9297f4d6f81ac4e332da0a5746474957a4a434f7513eca7730b30a | huggingface:model | KrishanuMishra/DialoGPT-medium-Rick |
artifact_07a1db7da24e6fa1048840e6cb7fa8d0549fa3f38ff35c6283a339e48559e144 | modelscope:model | alex191/minimax_h3_hybrid_fl2va_ref2va_b25-49-int8.safetensors |
artifact_07aa64ef0e84f097efc165e9e9137683d428b9c41eb4b429788d65601bfd6643 | openrouter:model | baai/bge-m3 |
artifact_07ac4f4acc2501e2102833a138db1b1717cda167097849bf45eab90b1c46ed14 | huggingface:model | Anthos23/my-awesome-model |
artifact_07ae0cc4ee5e51468da12954dd87e81db6dccc8cdc8c0d90317fb1b2f2cf581a | huggingface:model | dccuchile/distilbert-base-spanish-uncased-finetuned-xnli |
artifact_07b182ae2f7669fc4c7ee345fff6828dd75d5f18c4bd15566a35cc7a1665fb7d | huggingface:model | ali2066/finetuned_sentence_itr4_2e-05_all_27_02_2022-17_50_05 |
artifact_07b3622dcd700d010ba37e66e4276f3ed860058ada3437a98a30f680087d226e | timm:model | maxvit_rmlp_nano_rw_256 |
artifact_07b729ac204edd59327620a807099110b709dba93ffca278ed4a92820b8a8486 | huggingface:model | Ayham/xlnet_gpt2_summarization_cnn_dailymail |
artifact_07bc5ff8a4c777a571b5d3c0c93be3e712f0c253dda28a285815af610d58acc7 | huggingface:model | SEBIS/code_trans_t5_base_code_documentation_generation_python_transfer_learning_finetune |
artifact_07c3a0bbab575aed9ee6ad73bcbd7ea742d7cfbce7e7c98e13b3cbfad99d4b3e | huggingface:model | Declan/NewYorkTimes_model_v6 |
artifact_07c3a9900e71a236daef40cf2d9f35d1df3e267c9ffe53c60ca4cb56b01ed482 | huggingface:model | LailaAlrajhi/BERT_XAI |
artifact_07c62ab99e103481876f9e2d64fef2d01a1bdd85d9916fb2fda9e67b66812442 | timm:model | mvitv2_small |
artifact_07c75b623a2b3a823e8366cafc8c6a50d931c4f46a340cc9762ce9f28e658211 | huggingface:model | Ateeb/QA |
artifact_07cb818932fe26036017c404637ae6558293a5a4dd61cc104267dd1571a014a0 | arxiv | 2104.09864 |
artifact_07cb818932fe26036017c404637ae6558293a5a4dd61cc104267dd1571a014a0 | huggingface:model | Milos/slovak-gpt-j-1.4B |
artifact_07cbd283cd2dcf71d854cd5f0ce2e19bec93180cb00ad24c8607ec61a0c163f0 | timm:model | regnety_080 |
artifact_07d584082751e555b9918436c21f0826b6a3829604250000f47a23b5a9dbb839 | huggingface:model | SEBIS/legal_t5_small_trans_en_cs |
artifact_07d96302894452fd0e0cf972edb693512062101ba8e4f4b148732e3faa254f24 | huggingface:model | Helsinki-NLP/opus-mt-en-ee |
artifact_07e049ddb712395ff457aeaed1dc629bf7ae84f3218e764f96fe33cbce9b0dea | huggingface:model | ai4bharat/indic-bert |
artifact_07e2d754ffdb23aaa65a6cf4516512adb2efeda88da90498decc8465176197b0 | arxiv | 2104.08247 |
artifact_07e2d754ffdb23aaa65a6cf4516512adb2efeda88da90498decc8465176197b0 | huggingface:model | AdapterHub/roberta-base-pf-multirc |
artifact_07e42f786389365a95d0ff59e96692b5887dacb79bdda882a28d99df103176cd | timm:model | levit_192 |
artifact_07e4b28ebc13f7b03a5dad8a7f6d6e995dfdecd52d61e43d0923f84fa98b0e3d | modelscope:model | Qwen/Qwen2.5-Coder-7B-Instruct-GGUF |
artifact_07e73ad980d65a31746b071af439a84aa57c7fbeba37503873b13457a5815cdd | huggingface:model | amitgajbhiye/mlqe_en_zh |
artifact_07e9d13efc2827eaa73a63eeb053517af49bc21de9af6b14b6b85cb454584ded | huggingface:model | 2umm3r/distilbert-base-uncased-finetuned-cola |
artifact_07f0eed335f4634c373250ad2fc6b03114fd5ac4162968ff0dd745a73927a48a | huggingface:model | AnonymousSub/rule_based_roberta_twostagetriplet_hier_epochs_1_shard_1 |
artifact_07f6055fb85b58c0f0c2c469b7504ce14997948b5bd367cd271eba0ce2b1d520 | huggingface:model | Idrisa/Njema |
artifact_07f74dc37db48317087ad82d8e1219b7354b1b6c3a39e96b9416935f7595dd16 | arxiv | 2104.08247 |
artifact_07f74dc37db48317087ad82d8e1219b7354b1b6c3a39e96b9416935f7595dd16 | huggingface:model | AdapterHub/bert-base-uncased-pf-mit_movie_trivia |
artifact_07ff08e11aabcf9ab59ce8e1bbe80ec53b049eb4104aca4223fdd0fd689b02b8 | huggingface:model | MusserO/transformer-opus-fi-sv |
artifact_0801e563b9075ce4c193bda456455a6b9d540e5a8a540d6dcfabf64f90606220 | timm:model | samvit_base_patch16 |
artifact_080e5c97568bc532bf5f20424df4cc263e3a6762f21308cc00bff7a429c56a36 | huggingface:model | Narsil/esm1b_t33_650M_UR50S |
artifact_080e96458ba2565b3c9c2a668a559e5932f947efc4ef0b9f039ff4c9c1b74f26 | keras-hub:preset | keras_hub/src/models/retinanet/retinanet_presets.py:backbone_presets:retinanet_resnet50_fpn_coco |
artifact_081a3b8986fc6f946fd847fa997ecdf4f29ed75bbb056c1698ee88a87324c231 | openrouter:model | anthropic/claude-fable-5.1:batch |
artifact_0826e755d3854fcfc0949c10fa622ed237fb1284f7b168177ca428303bd645fa | timm:model | dla102 |
artifact_08279bee26ecf90e89f67491122ec5e04df6d3a807ecf0186aabdcc403f4f0f3 | huggingface:model | SEBIS/code_trans_t5_base_code_documentation_generation_python_multitask_finetune |
artifact_082da4da95dd7a7442fc667d841f42ce29f2bf2e9877eddead31183cdfaa830e | keras-hub:preset | keras_hub/src/models/llama3/llama3_presets.py:backbone_presets:llama3.2_guard_1b |
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