Instructions to use mole-code/lancedb-starcoderbase-1b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mole-code/lancedb-starcoderbase-1b-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mole-code/lancedb-starcoderbase-1b-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3ab0ca6970350d9111c9951514f2f2462d0938bd228af2d7fd7fc1229e87405
- Size of remote file:
- 3.35 MB
- SHA256:
- 38eacc305f1d756740c658642c6a14dac9cc542ac3c776083bfe00d8f0518b8b
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