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:
- 9bd8405ce9314455b533cbc16dbcd213ebc7c19f9b8fbc593a49b6238327e528
- Size of remote file:
- 237 MB
- SHA256:
- 1c01388af74a89d78a9323f5fbfc1750a7a656e88fb87a051bcd93c4377b067a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.