Instructions to use jinxing6609/olmo3-7b-zh-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinxing6609/olmo3-7b-zh-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jinxing6609/olmo3-7b-zh-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from jinxing6609/olmo3-7b-zh-lora: direct link, hf CLI and curl.
- Browser
- Download file 7.14 MB
-
https://huggingface.co/jinxing6609/olmo3-7b-zh-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://jinxing6609/olmo3-7b-zh-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jinxing6609/olmo3-7b-zh-lora/resolve/main/tokenizer.json
7.14 MB
File too large to display, you can check the raw version instead.