Image Feature Extraction
timm
Safetensors
sapiens
sapiens2
Transformers
vision-transformer
human-centric
pretrained-backbone
feature-extraction
Instructions to use timm/vit_large_patch16_sapiens2.fb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/vit_large_patch16_sapiens2.fb with timm:
import timm model = timm.create_model("hf-hub:timm/vit_large_patch16_sapiens2.fb", pretrained=True) - sapiens
How to use timm/vit_large_patch16_sapiens2.fb with sapiens:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- sapiens2
How to use timm/vit_large_patch16_sapiens2.fb with sapiens2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Transformers
How to use timm/vit_large_patch16_sapiens2.fb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/vit_large_patch16_sapiens2.fb")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/vit_large_patch16_sapiens2.fb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from timm/vit_large_patch16_sapiens2.fb: direct link, hf CLI and curl.
- Browser
- Download file 1.58 GB
-
https://huggingface.co/timm/vit_large_patch16_sapiens2.fb/resolve/f2cb24908418113aec545b966ce4cc96a1cfd9dc/model.safetensors
- Command line
-
hf download hf://timm/vit_large_patch16_sapiens2.fb@f2cb24908418113aec545b966ce4cc96a1cfd9dc/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/timm/vit_large_patch16_sapiens2.fb/resolve/f2cb24908418113aec545b966ce4cc96a1cfd9dc/model.safetensors
1.58 GB
- Xet hash:
- 7aa2e3706d6bbc6f6737ffc6d20d5ec5bb10bdcc28a87be7817472207f64067a
- Size of remote file:
- 1.58 GB
- SHA256:
- 4cf5880f477efee1529a585080e5a726cc63945de6c1d49767eef5706c36784a
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