Instructions to use agentic-moral-alignment/qwen35-9b__ipd_str_tft__util__native_tool__r1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agentic-moral-alignment/qwen35-9b__ipd_str_tft__util__native_tool__r1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("agentic-moral-alignment/qwen35-9b__ipd_str_tft__util__native_tool__r1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 8a840852476760d96a054d495574bd05a7b519f6bb897aadc36bc41c88927728
- Size of remote file:
- 237 MB
- SHA256:
- 516fd300d2bb5b3ef76f91256609365177419d90fd1cdcd547e1182d2b41c8a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.