Instructions to use dimasik87/bee073bf-1eec-4512-b15b-ea5e13c9d7f1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/bee073bf-1eec-4512-b15b-ea5e13c9d7f1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "dimasik87/bee073bf-1eec-4512-b15b-ea5e13c9d7f1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df5fa1a56187c4fed99c07ed4324da3426a03a15057716d12bc0bbb3930c18f3
- Size of remote file:
- 148 MB
- SHA256:
- 9bdf5f3f736b5ce60df426388a93e69d0caa6edd45df4aa4f16990218ee94329
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