Instructions to use dada22231/0ce63847-2fb3-4975-a47e-f3f32ee8b49a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/0ce63847-2fb3-4975-a47e-f3f32ee8b49a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "dada22231/0ce63847-2fb3-4975-a47e-f3f32ee8b49a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c55e3509725eefdc731deabad64fa8bbb9759aa38da772e93530a76046d54e55
- Size of remote file:
- 15 kB
- SHA256:
- 66647516bde787b287700b5753c8c57b6fd37a903973d81871e53de601c9e095
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