Instructions to use arvnoodle/hcl-gemma-instruct-2b-javascript-lotuscript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arvnoodle/hcl-gemma-instruct-2b-javascript-lotuscript with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arvnoodle/hcl-gemma-instruct-2b-javascript-lotuscript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 80105e5103f8e7d816b0ca2b3d556213e106c8ce08f4a11c495231e7cdefbd8a
- Size of remote file:
- 78.5 MB
- SHA256:
- ac2ecbf34eac432caadba88f0fc6e6a607909f314a5cb6b05d515ede16a73bb5
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