Instructions to use flyswot/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flyswot/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="flyswot/test2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("flyswot/test2") model = AutoModelForImageClassification.from_pretrained("flyswot/test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62525afa11b4220e889b6bcae771289694b173afae426b4c8845ee2b05077e0e
- Size of remote file:
- 343 MB
- SHA256:
- 11b653cc425c41b7fff0f45080db2a9811ef6d317527d096637525c70bcf2f99
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