Instructions to use mole-code/langchain-starcoderbase-1b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mole-code/langchain-starcoderbase-1b-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mole-code/langchain-starcoderbase-1b-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53e605cb8cf3f6ee84da5fa000c5a3294ba5e0f6f5e6bf3ecac2235cf01f76f9
- Size of remote file:
- 3.35 MB
- SHA256:
- d8dc18b284c57df1d34a437fb3f1ea62be4396106a8a802fa58a00593e66f001
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