Instructions to use fxmarty/tiny-testing-remote-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/tiny-testing-remote-code with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fxmarty/tiny-testing-remote-code", trust_remote_code=True) 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("fxmarty/tiny-testing-remote-code", trust_remote_code=True) model = AutoModelForImageClassification.from_pretrained("fxmarty/tiny-testing-remote-code", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9468b4b04a253e60cb8aef632257d13fd90377b955449e9342485d2591ed812
- Size of remote file:
- 46.8 MB
- SHA256:
- 1736fce8f31d1c0b0c17bc576bdadce4a76c78891e8492b1a9f491c8fea7f5d7
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