Instructions to use D-Roberts/tf-efficientformer-l3-300-dev3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D-Roberts/tf-efficientformer-l3-300-dev3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="D-Roberts/tf-efficientformer-l3-300-dev3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("D-Roberts/tf-efficientformer-l3-300-dev3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b636acf9b27349fde678977a1b8e631665e80178a9dfe275cb9c2d7e000ce8a0
- Size of remote file:
- 122 MB
- SHA256:
- 1c969f443a705311c9440c25b8320121215da83081700f8e256c720802455dbd
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