Instructions to use jiayihao03/gemma2b_code_javascript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiayihao03/gemma2b_code_javascript with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jiayihao03/gemma2b_code_javascript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from jiayihao03/gemma2b_code_javascript: direct link, hf CLI and curl.
- Browser
- Download file 78.5 MB
-
https://huggingface.co/jiayihao03/gemma2b_code_javascript/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://jiayihao03/gemma2b_code_javascript/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/jiayihao03/gemma2b_code_javascript/resolve/main/adapter_model.safetensors
78.5 MB
- Xet hash:
- 2d1d98340499d96050707beec79472367ad910f411666066fcc95889053eceae
- Size of remote file:
- 78.5 MB
- SHA256:
- 92d13e12819f79816cb6a299f2f0b0076126e590cb77f2cd5f241ce588c42c36
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