Instructions to use RaagulQB/Opt1.3B-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaagulQB/Opt1.3B-code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RaagulQB/Opt1.3B-code", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ea5cbbe4ac9fa0ccc3e8cac26be38f26b587a844aaa60cc77b315f8ab38a033
- Size of remote file:
- 4.74 MB
- SHA256:
- 7a2afe07babe2e2f82f00a8a5099561e8233108a972c2d04c43d73046f893fdd
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