Instructions to use mole-code/llama_index-starcoderbase-1b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mole-code/llama_index-starcoderbase-1b-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mole-code/llama_index-starcoderbase-1b-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b05a81c6f01dc6e60694b79b432f4443f4631a32ba74362c4191703a7f46f704
- Size of remote file:
- 3.35 MB
- SHA256:
- 4edc4f622a4f0d982802c7d7a262c9d757a999a943929729c036f3c25c76bb6f
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