model_id stringlengths 7 94 | doi stringlengths 20 20 |
|---|---|
moonshotai/Kimi-K2-Instruct | doi:10.57967/hf/5976 |
tngtech/DeepSeek-TNG-R1T2-Chimera | doi:10.57967/hf/5950 |
hexgrad/Kokoro-82M | doi:10.57967/hf/4329 |
vikhyatk/moondream2 | doi:10.57967/hf/3219 |
tabularisai/multilingual-sentiment-analysis | doi:10.57967/hf/5968 |
openai-community/gpt2 | doi:10.57967/hf/0039 |
tngtech/DeepSeek-R1T-Chimera | doi:10.57967/hf/5330 |
SparkAudio/Spark-TTS-0.5B | doi:10.57967/hf/4650 |
nlptown/bert-base-multilingual-uncased-sentiment | doi:10.57967/hf/1515 |
vectara/hallucination_evaluation_model | doi:10.57967/hf/3240 |
Raymond-dev-546730/Research-Reasoner-7B-v0.3 | doi:10.57967/hf/5093 |
Raymond-dev-546730/MaterialsAnalyst-AI-7B | doi:10.57967/hf/5839 |
nprak26/IndicLaw-Class | doi:10.57967/hf/5964 |
nlpconnect/vit-gpt2-image-captioning | doi:10.57967/hf/0222 |
bigscience/bloom | doi:10.57967/hf/0003 |
SamLowe/roberta-base-go_emotions | doi:10.57967/hf/3548 |
CohereLabs/c4ai-command-r-plus | doi:10.57967/hf/3138 |
ds4sd/docling-models | doi:10.57967/hf/3036 |
ai4bharat/indic-parler-tts | doi:10.57967/hf/5683 |
strangerzonehf/Flux-Ultimate-LoRA-Collection | doi:10.57967/hf/5698 |
Bingsu/adetailer | doi:10.57967/hf/3633 |
microsoft/rad-dino | doi:10.57967/hf/3050 |
gerturax/gerturax-3 | doi:10.57967/hf/4424 |
alvdansen/littletinies | doi:10.57967/hf/2666 |
calcuis/wan-gguf | doi:10.57967/hf/4819 |
gia-uh/cecilia-2b-v0.1 | doi:10.57967/hf/5667 |
anhvlt-2k6/osg-ai | doi:10.57967/hf/5959 |
distilbert/distilbert-base-uncased-finetuned-sst-2-english | doi:10.57967/hf/0181 |
Langboat/mengzi-t5-base | doi:10.57967/hf/0025 |
StevenLimcorn/indonesian-roberta-base-emotion-classifier | doi:10.57967/hf/0681 |
beomi/KcELECTRA-base | doi:10.57967/hf/0017 |
dbmdz/bert-base-german-cased | doi:10.57967/hf/4377 |
ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition | doi:10.57967/hf/2045 |
jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn | doi:10.57967/hf/3570 |
jonatasgrosman/wav2vec2-large-xlsr-53-russian | doi:10.57967/hf/3571 |
papluca/xlm-roberta-base-language-detection | doi:10.57967/hf/2064 |
w11wo/indonesian-roberta-base-sentiment-classifier | doi:10.57967/hf/2997 |
classla/xlm-roberta-base-multilingual-text-genre-classifier | doi:10.57967/hf/0927 |
biodatlab/whisper-th-medium-combined | doi:10.57967/hf/0227 |
Lykon/DreamShaper | doi:10.57967/hf/0453 |
liyuesen/druggpt | doi:10.57967/hf/0627 |
dccuchile/patana-chilean-spanish-bert | doi:10.57967/hf/1845 |
Linaqruf/animagine-xl-2.0 | doi:10.57967/hf/1681 |
ceadar-ie/FinanceConnect-13B | doi:10.57967/hf/1405 |
made-with-clay/Clay | doi:10.57967/hf/1537 |
SG161222/RealVisXL_V4.0 | doi:10.57967/hf/5476 |
recogna-nlp/internlm-chatbode-7b | doi:10.57967/hf/3317 |
kenhktsui/llm-data-textbook-quality-fasttext-classifier-v2 | doi:10.57967/hf/2891 |
primeline/whisper-large-v3-turbo-german | doi:10.57967/hf/3827 |
dh-unibe/trocr-essoins-middle-latin | doi:10.57967/hf/4634 |
allenai/ACE2-ERA5 | doi:10.57967/hf/5377 |
calcuis/ltxv-gguf | doi:10.57967/hf/4333 |
scrumptious/librevae-f8-d8 | doi:10.57967/hf/3850 |
OmarSamir/EGTTS-V0.1 | doi:10.57967/hf/3989 |
stefan-it/bert5urk | doi:10.57967/hf/4694 |
TucanoBR/ViTucano-2b8-v1 | doi:10.57967/hf/4530 |
imsanjoykb/deepSQL-R1-distill-8B | doi:10.57967/hf/4472 |
calcuis/pig-encoder | doi:10.57967/hf/4581 |
prithivMLmods/Alphabet-Sign-Language-Detection | doi:10.57967/hf/5283 |
Simonlee711/Clinical_ModernBERT | doi:10.57967/hf/4999 |
prithivMLmods/Mnist-Digits-SigLIP2 | doi:10.57967/hf/5279 |
Felldude/Uncensored_Hunyuan_Llama | doi:10.57967/hf/5115 |
erax-ai/EraX-Translator-V1.0-GGUF | doi:10.57967/hf/5133 |
prithivMLmods/open-deepfake-detection | doi:10.57967/hf/5569 |
a0a7/GreggRecognition | doi:10.57967/hf/5604 |
tarun7r/Finance-Llama-8B | doi:10.57967/hf/5731 |
iapp/chinda-qwen3-4b | doi:10.57967/hf/5709 |
prithivMLmods/Common-Voice-Gender-Detection | doi:10.57967/hf/5684 |
Akhil-Theerthala/Kuvera-14B-v0.1.0 | doi:10.57967/hf/5707 |
industrialpolicygroup/industrialpolicy-classifier | doi:10.57967/hf/5896 |
UnfilteredAI/NSFW-GEN-ANIME | doi:10.57967/hf/2129 |
erax-ai/EraX-Anti-NSFW-V1.1 | doi:10.57967/hf/4827 |
CLTL/MedRoBERTa.nl | doi:10.57967/hf/0960 |
GroNLP/bert-base-dutch-cased | doi:10.57967/hf/0149 |
Langboat/mengzi-bert-base-fin | doi:10.57967/hf/0024 |
Langboat/mengzi-bert-base | doi:10.57967/hf/0023 |
Lauler/deformer | doi:10.57967/hf/0612 |
Tahsin-Mayeesha/wav2vec2-bn-300m | doi:10.57967/hf/0939 |
abdusah/arabert-ner | doi:10.57967/hf/0271 |
adalbertojunior/distilbert-portuguese-cased | doi:10.57967/hf/3041 |
airesearch/wav2vec2-large-xlsr-53-th | doi:10.57967/hf/0404 |
akdeniz27/bert-base-turkish-cased-ner | doi:10.57967/hf/0949 |
akdeniz27/convbert-base-turkish-cased-ner | doi:10.57967/hf/0015 |
beomi/kcbert-base | doi:10.57967/hf/0016 |
bolbolzaban/gpt2-persian | doi:10.57967/hf/1207 |
cvcio/mediawatch-el-topics | doi:10.57967/hf/0711 |
cvcio/roberta-el-news | doi:10.57967/hf/0712 |
dbmdz/bert-base-german-uncased | doi:10.57967/hf/4378 |
dbmdz/bert-base-italian-cased | doi:10.57967/hf/5850 |
dbmdz/bert-base-italian-xxl-uncased | doi:10.57967/hf/5373 |
dbmdz/german-gpt2 | doi:10.57967/hf/5768 |
fhswf/bert_de_ner | doi:10.57967/hf/0655 |
flax-community/gpt2-bengali | doi:10.57967/hf/0938 |
fractalego/fact-checking | doi:10.57967/hf/0009 |
gsarti/scibert-nli | doi:10.57967/hf/0038 |
jonatasgrosman/wav2vec2-large-english | doi:10.57967/hf/3587 |
jonatasgrosman/wav2vec2-large-fr-voxpopuli-french | doi:10.57967/hf/3585 |
jonatasgrosman/wav2vec2-large-xlsr-53-arabic | doi:10.57967/hf/3573 |
jonatasgrosman/wav2vec2-large-xlsr-53-dutch | doi:10.57967/hf/0203 |
jonatasgrosman/wav2vec2-large-xlsr-53-english | doi:10.57967/hf/3569 |
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