Instructions to use trangtrannnnn/437327f8-a241-444e-8408-8bb0c1f56926 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use trangtrannnnn/437327f8-a241-444e-8408-8bb0c1f56926 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B") model = PeftModel.from_pretrained(base_model, "trangtrannnnn/437327f8-a241-444e-8408-8bb0c1f56926") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1673646f817d40e16a28ff27ea2f459bc2ffcd3c1e1d2b9469ce3c8d1d90518b
- Size of remote file:
- 6.78 kB
- SHA256:
- 2fa4aa7273ba2c9497588704aaca22be51bdd906dfc7ad10c4275db75496c036
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