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:
- b420d2b4734c24ac93adc6fdf41116c279a829f395aa100cd4d36fb46d5971a1
- Size of remote file:
- 237 MB
- SHA256:
- 6cac959c063b917096c9fcc9da9f95d0c1829857b61e1facbbb06faadc91aa90
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.