Instructions to use Cidoyi/mbpp-coder-0.5b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cidoyi/mbpp-coder-0.5b-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cidoyi/mbpp-coder-0.5b-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38798552265d848f2c1fdf14b564987853d59cc02ae75b46b3f9b1ec613bff9e
- Size of remote file:
- 6.29 kB
- SHA256:
- 2557c1c6b688155f88cf5adfdd53c20b9d90427024d98d2c9c12a62ef5851e47
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