Instructions to use D-Roberts/tf-efficientformer-l1-300-dev1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D-Roberts/tf-efficientformer-l1-300-dev1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="D-Roberts/tf-efficientformer-l1-300-dev1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("D-Roberts/tf-efficientformer-l1-300-dev1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9dac4e23a7bd10dfaeb43c6805b90dcabe1630d560ac1b69513abf7118a3e17
- Size of remote file:
- 45.9 MB
- SHA256:
- b607b0ed7aa47f93f9754140ce58a30c38987b609a5dc7b1ee9130edcb36925a
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