Instructions to use Felipe717/LORA2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Felipe717/LORA2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Felipe717/LORA2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Felipe717/LORA2: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/Felipe717/LORA2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Felipe717/LORA2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Felipe717/LORA2/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- f97e1a50fef270b96ccfb11591b5cf7dda7eacdbd517533a64ad48b6f6b0ffcb
- Size of remote file:
- 34.4 MB
- SHA256:
- 803fdb36aeeceec93de0e37a0438c284374d7cfc4aadc4c50bb7d1a91088df03
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