depth-anything/Depth-Anything-V2-Small-hf
depth-anything/Depth-Anything-V2-Small-hf is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
2,345,312 public models indexed from the Hugging Face Hub, with independent VRAM estimates and license signals.
depth-anything/Depth-Anything-V2-Small-hf is a depth estimation model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
nomic-ai/nomic-embed-text-v1 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
anuragshas/wav2vec2-large-xlsr-53-telugu is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
HuggingFaceTB/SmolVLM2-500M-Video-Instruct is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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sentence-transformers/distiluse-base-multilingual-cased-v1 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
pnnbao-ump/VieNeu-TTS-v3-Turbo is a text to speech model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
timm/resnet50.a1_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
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litert-community/gemma-4-E2B-it-litert-lm is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
colbert-ir/colbertv2.0 is a AI workload model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
kingabzpro/wav2vec2-large-xls-r-300m-Urdu is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
jonatasgrosman/wav2vec2-large-xlsr-53-finnish is a automatic speech recognition model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google/siglip2-base-patch16-256 is a zero shot image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
google-bert/bert-base-multilingual-cased is a fill mask model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
nvidia/bigvgan_v2_22khz_80band_256x is a audio to audio model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
sentence-transformers/paraphrase-MiniLM-L6-v2 is a sentence similarity model indexed for deployment research. Estimated minimum GPU memory is 4 GB. It is publicly listed on Hugging Face.
NeoQuasar/Kronos-small is a time series forecasting model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.
ornith-ai/Ornith-1.0-35B is a text generation model indexed for deployment research. Estimated minimum GPU memory is 80 GB. It is publicly listed on Hugging Face.
Qwen/Qwen3-VL-8B-Instruct-FP8 is a image text to text model indexed for deployment research. Estimated minimum GPU memory is 24 GB. It is publicly listed on Hugging Face.
StanfordAIMI/stanford-deidentifier-base is a token classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.