Instructions to use chauhoang/4675ba61-9ca2-498e-8468-0d072a10e981 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/4675ba61-9ca2-498e-8468-0d072a10e981 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "chauhoang/4675ba61-9ca2-498e-8468-0d072a10e981") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e127a88992550abfe53e8fbe651c6ca27f7971ecc032e7185377474bdb48d49d
- Size of remote file:
- 39.3 MB
- SHA256:
- 1a85a38b4c8fcc431275ed4bb73b19dee32f157d14738b1d69a5f1701e1d2197
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