Instructions to use weathon/sft_review_qwen35_9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use weathon/sft_review_qwen35_9b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("weathon/sft_review_qwen35_9b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a688c8069d02e40b54af8214439f709deb078520c2c358c58ea39c64d5284c17
- Size of remote file:
- 410 MB
- SHA256:
- bb4dc45aa64593668b9ebbecd926c29141acd89bc38bf0fd6a0501fa14e578ab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.