Instructions to use micole66/autotrain-feet-typelok-2473576411 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use micole66/autotrain-feet-typelok-2473576411 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="micole66/autotrain-feet-typelok-2473576411") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("micole66/autotrain-feet-typelok-2473576411", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e4642960837413c25e3e64743806dc1e6a8ac4c4d0d38d87541c3de996ac4ac
- Size of remote file:
- 781 MB
- SHA256:
- ca14373839dca24ea3ec1fd555e7300eb9785e2141a3a925d552c8d9d84d2689
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