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:
- 807ee7c2fcb852a6989ad227328777e3b11c0d35d148470386de6042963667e6
- Size of remote file:
- 323 MB
- SHA256:
- 81223561dd8650cc0df15b59a89aa280faa4b3baa8beb0fd62378a4d54145fe6
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