Instructions to use JorgeAV/fastvit_t8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JorgeAV/fastvit_t8 with Transformers:
# Load model directly from transformers import FastViTForImageClassification model = FastViTForImageClassification.from_pretrained("JorgeAV/fastvit_t8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b34e49c2497166e2eaa2f0df245a19776d389f22c297ff93a29b52107965fa3
- Size of remote file:
- 16.4 MB
- SHA256:
- 2c96b325782b4ba82605be481c9f7a6216cd6b9488d72e2b101409ba562b9249
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