Instructions to use p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli with timm:
import timm model = timm.create_model("hf_hub:p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli", pretrained=True) - Transformers
How to use p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli") model = AutoModel.from_pretrained("p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli: direct link, hf CLI and curl.
- Browser
- Download file 373 MB
-
https://huggingface.co/p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli/resolve/main/model.safetensors
- Command line
-
hf download hf://p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/p1atdev/style_250412.vit_base_patch16_siglip_384.v2_webli/resolve/main/model.safetensors
373 MB
- Xet hash:
- 42120dd5925868c414c237a5a68ea505d3b974b1267409945991e9780568ff78
- Size of remote file:
- 373 MB
- SHA256:
- 618a6f6a69ff7bdcf80531c271c6d44162ec7d615dc211b1e1b465a45ff57dff
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