Instructions to use robiulawaldev/7a9ade61-f783-4dcb-80dd-bcac1bcbeeb1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robiulawaldev/7a9ade61-f783-4dcb-80dd-bcac1bcbeeb1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "robiulawaldev/7a9ade61-f783-4dcb-80dd-bcac1bcbeeb1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5189e3e661038ecfda60a426265199f292c118085bd317bd8305171f0e646eb9
- Size of remote file:
- 6.78 kB
- SHA256:
- 6c4e4a41000ec24df90adcd1d014d11acb7b90a91a51046c4d1b4bf6e955c82a
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