Instructions to use Henry65/unixcoder-advtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Henry65/unixcoder-advtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Henry65/unixcoder-advtest")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Henry65/unixcoder-advtest") model = AutoModel.from_pretrained("Henry65/unixcoder-advtest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e4324452603d0fd277fa3dacd8f5160437d28df478d5c2727da5d509704a7ee
- Size of remote file:
- 504 MB
- SHA256:
- 46e5d2d7cf64d9235c9d5643760ae1e92dc3607d1ed918b504c058fb62eae465
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