Instructions to use TM9450/Image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TM9450/Image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="TM9450/Image_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("TM9450/Image_classification") model = AutoModelForImageClassification.from_pretrained("TM9450/Image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from TM9450/Image_classification: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/TM9450/Image_classification/resolve/main/README.md
- Command line
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hf download hf://TM9450/Image_classification/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/TM9450/Image_classification/resolve/main/README.md
0 Bytes