Instructions to use timm/vit_pe_spatial_tiny_patch16_512.fb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/vit_pe_spatial_tiny_patch16_512.fb with timm:
import timm model = timm.create_model("hf-hub:timm/vit_pe_spatial_tiny_patch16_512.fb", pretrained=True) - Transformers
How to use timm/vit_pe_spatial_tiny_patch16_512.fb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/vit_pe_spatial_tiny_patch16_512.fb")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/vit_pe_spatial_tiny_patch16_512.fb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from timm/vit_pe_spatial_tiny_patch16_512.fb: direct link, hf CLI and curl.
- Browser
- Download file 22.7 MB
-
https://huggingface.co/timm/vit_pe_spatial_tiny_patch16_512.fb/resolve/2531addff69b565668fc6f2065a1c222cf1d431b/model.safetensors
- Command line
-
hf download hf://timm/vit_pe_spatial_tiny_patch16_512.fb@2531addff69b565668fc6f2065a1c222cf1d431b/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/timm/vit_pe_spatial_tiny_patch16_512.fb/resolve/2531addff69b565668fc6f2065a1c222cf1d431b/model.safetensors
22.7 MB
- Xet hash:
- 71a55d91c8f990b2966bd37fc97c8e4f7789524952cf0c3113e016083debad1d
- Size of remote file:
- 22.7 MB
- SHA256:
- 7242055f36d8973c569cfdd1c26ebdef0f4c00e8e4acdad1a7ffc6e94fa8043a
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