Instructions to use arvnoodle/hcl-gemma-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-2b-javascript-lotuscript with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arvnoodle/hcl-gemma-2b-javascript-lotuscript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 0bd31da32a4d75c252aaf443df72550c3433a81bfbd7d7d23341f3f181007b19
- Size of remote file:
- 78.5 MB
- SHA256:
- ecc23e7a5f3ad75c09cfd3f5e96d7c474faeffeb43e664e3de7d4f7b4de08841
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