Instructions to use nttx/0f93b513-f452-4599-beb3-0b6e6831b198 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/0f93b513-f452-4599-beb3-0b6e6831b198 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "nttx/0f93b513-f452-4599-beb3-0b6e6831b198") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb12185875437802e462f5a8b837eaad9087cd2caf97dc38cd44af977750bb08
- Size of remote file:
- 6.78 kB
- SHA256:
- 58d156c1b494359fff65216de4979ed56a36b02659366d9c928072889d5ce9cb
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