Instructions to use timm/vit_pe_spatial_large_patch14_448.fb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/vit_pe_spatial_large_patch14_448.fb with timm:
import timm model = timm.create_model("hf-hub:timm/vit_pe_spatial_large_patch14_448.fb", pretrained=True) - Transformers
How to use timm/vit_pe_spatial_large_patch14_448.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_large_patch14_448.fb")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/vit_pe_spatial_large_patch14_448.fb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from timm/vit_pe_spatial_large_patch14_448.fb: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/timm/vit_pe_spatial_large_patch14_448.fb/resolve/main/model.safetensors
- Command line
-
hf download hf://timm/vit_pe_spatial_large_patch14_448.fb/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/timm/vit_pe_spatial_large_patch14_448.fb/resolve/main/model.safetensors
1.22 GB
- Xet hash:
- 4103f94d46ffbc19aa441d5b2e00218e8fe8133918a1a4d139f3aed4e206b25f
- Size of remote file:
- 1.22 GB
- SHA256:
- c21925194deea04a30e1e7c40f84f4ce9649bc379463fa81617a6cfa295f3927
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