Instructions to use dada22231/aae221a2-e111-4f8b-98ba-935f2b79fdfb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/aae221a2-e111-4f8b-98ba-935f2b79fdfb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B") model = PeftModel.from_pretrained(base_model, "dada22231/aae221a2-e111-4f8b-98ba-935f2b79fdfb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5294100fe369d4fca4b9c09bbc903d8992a1792265284295dafb08e0b5f67bfd
- Size of remote file:
- 15 kB
- SHA256:
- a3708ccb7734388ff26e62a6e314554b124b452882e6fbd151a3540784e49c98
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