Instructions to use linh1/e4c65784-ac5d-438c-9e1a-2ff5b592fad3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use linh1/e4c65784-ac5d-438c-9e1a-2ff5b592fad3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "linh1/e4c65784-ac5d-438c-9e1a-2ff5b592fad3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88c5f1a2921dddadcb77b53b451176b5bc132e2eaaa9df1d4950ffeaef8b6951
- Size of remote file:
- 794 kB
- SHA256:
- aec2354ab5daac0ce8778650a1d3ab4f2b77fac3dd429236ca6faf85954ddf8e
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