Instructions to use travistest/qwen2.5-3b-instruct-json with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use travistest/qwen2.5-3b-instruct-json with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("travistest/qwen2.5-3b-instruct-json", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- e80767694764cb9217b013ea2c86300f5d3c3666f1cc5bea83890470172967e9
- Size of remote file:
- 240 MB
- SHA256:
- 955d47181f8aa5ce1482dd25d409c337542484bba6cae6119d914c118c7d7271
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.