Instructions to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "aleegis10/0aa7975a-2431-4f55-be8e-d7b2eb6326f2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f3f16b4375649e65d6845b93008dd06c740f8a43bd83646e1eb72cb5dd939d2
- Size of remote file:
- 382 MB
- SHA256:
- afe3a5ef671651dcb703df4682d781a7a345d3bf196206f45917c9f889590790
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