Instructions to use hasdal/7143f6a7-7d69-4690-9974-086809321e45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hasdal/7143f6a7-7d69-4690-9974-086809321e45 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "hasdal/7143f6a7-7d69-4690-9974-086809321e45") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4756c53f133789a46710665781258291d6b538d112f72ada0477e95d1a33255f
- Size of remote file:
- 17.7 MB
- SHA256:
- 18d34c08fbf953fd05b18ad005e6a21bba2e99b7f05948ac70b2f17425c518d4
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