Instructions to use aleegis12/8e2f59ae-9db7-4eb0-adbd-1dc27e084f3f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis12/8e2f59ae-9db7-4eb0-adbd-1dc27e084f3f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tlphams/gollm-12.8b-instruct-v2.3") model = PeftModel.from_pretrained(base_model, "aleegis12/8e2f59ae-9db7-4eb0-adbd-1dc27e084f3f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b85ee2e44d4a695cd0ce233afb2f02ea7ba46014271deee7cccaf6f80b4f3d4
- Size of remote file:
- 839 MB
- SHA256:
- 0e5718be9fc201047052dfbd29be5060151a28ad6d2aaceb0d59b4f8fc75fc0f
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