Instructions to use thaffggg/49bde384-cb87-490a-9f98-a351b8d69821 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/49bde384-cb87-490a-9f98-a351b8d69821 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "thaffggg/49bde384-cb87-490a-9f98-a351b8d69821") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2751d1ce003d57cf3c121e831380bb94cf3574a93eac0183c22ae73c267cc10
- Size of remote file:
- 6.78 kB
- SHA256:
- 63651b80b10332122c20fb7af8ae8ff90e9084d44ec3cba2423e069f99136b78
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