Instructions to use copper-light/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use copper-light/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="copper-light/test-model", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("copper-light/test-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/model.cpython-313.pyc from copper-light/test-model: direct link, hf CLI and curl.
- Browser
- Download file 1.62 kB
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https://huggingface.co/copper-light/test-model/resolve/main/__pycache__/model.cpython-313.pyc
- Command line
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hf download hf://copper-light/test-model/__pycache__/model.cpython-313.pyc
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curl -L -o model.cpython-313.pyc https://huggingface.co/copper-light/test-model/resolve/main/__pycache__/model.cpython-313.pyc
1.62 kB
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