Instructions to use thaffggg/718fbbf0-23cf-4ff3-a4b2-2c0f85e99fef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/718fbbf0-23cf-4ff3-a4b2-2c0f85e99fef with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "thaffggg/718fbbf0-23cf-4ff3-a4b2-2c0f85e99fef") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa24c4b5f8b0508f62c5cb1910f82965432a3d5075a5cf9a9aed21a1c77eb204
- Size of remote file:
- 138 MB
- SHA256:
- 08403e636ca1fc874c35d77ee3d95af603745e9b5a1f4fc6e5cef2d8454f60d3
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