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:
- 3499f2312d3cb9d10fc437823484173045ca55faaaab3a1b429e73c733c89310
- Size of remote file:
- 1.47 kB
- SHA256:
- e4c8077495cb47e91a144bc95d7f5e89f05c9c2c274f4c248102bcdf795804e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.