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)# 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
- Xet hash:
- ec037446ed59ea0e7ace1b3711121facae5118239c35ab19aa91a05a430451bc
- Size of remote file:
- 496 Bytes
- SHA256:
- 02e29cc7caa063ae44c81291dcb12f3ac8f21b2d639d8ef7b088dfac535d94bb
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