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")# 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
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tags:
- image-feature-extraction
- timm
- transformers
library_name: timm
license: apache-2.0
---
# Model card for vit_pe_spatial_tiny_patch16_512.fb
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