Instructions to use AISE-TUDelft/StarCoder2Java-7b_LoRA_ep2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AISE-TUDelft/StarCoder2Java-7b_LoRA_ep2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AISE-TUDelft/StarCoder2Java-7b_LoRA_ep2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf79f7ef47e6306fa8d803f085a7e471d0e8acea2a294ea0733a291742b2652a
- Size of remote file:
- 53 MB
- SHA256:
- d64a18d463f43f884c163a912632ccdd4fc7fbf7e05b8c1516ff32c69481e4aa
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