Instructions to use hongngo/136454eb-a06e-41ba-b71b-04c52cc2a6e7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/136454eb-a06e-41ba-b71b-04c52cc2a6e7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "hongngo/136454eb-a06e-41ba-b71b-04c52cc2a6e7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96154c3b0d54cfd096752033bb729253de8956532fb7f00525d021c2a9850d61
- Size of remote file:
- 6.78 kB
- SHA256:
- 2992da0cdbdd0e3bae9cb360a12caa0f17473a37893759b7e6e5b9933fa6c848
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