Instructions to use jayzou3773/Qwen2.5-7B-Instruct-lora-Microsoft-phase0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayzou3773/Qwen2.5-7B-Instruct-lora-Microsoft-phase0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jayzou3773/Qwen2.5-7B-Instruct-lora-Microsoft-phase0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92b1625054c000f62ba9ed445b13b452e58a10cc5d263800b95994ac2f88a180
- Size of remote file:
- 162 MB
- SHA256:
- 40100739d576979274edb833b97a1b2a3cf1f3d5efb71ccfa0262147c85b3b26
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.