Instructions to use bpHigh/qwen3b-office-sft-kimi-long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bpHigh/qwen3b-office-sft-kimi-long with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bpHigh/qwen3b-office-sft-kimi-long", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21db13b7d07e4b4d2001dc4dbb99b25d2709fc54d5b661b82d01a8952b51a904
- Size of remote file:
- 5.37 kB
- SHA256:
- 64e0e22a2db769bdd9a158861d1a7387e30ba5501392c41e7c9cdb3aef149493
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