Instructions to use arvnoodle/hclcodegemma-7b-it-javascript-lotuscript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arvnoodle/hclcodegemma-7b-it-javascript-lotuscript with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arvnoodle/hclcodegemma-7b-it-javascript-lotuscript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 33b17903c24b3bac883f9d134494222ecb8e2b843c49ba599db0e69be37e6465
- Size of remote file:
- 200 MB
- SHA256:
- 77bf8d316a02367cc54320d97ebcb28fc6bb3d05e722f3cd8447f8cf2d747b53
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