Instructions to use chauhoang/620be513-90da-06ab-a04f-bd410a8cf8d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/620be513-90da-06ab-a04f-bd410a8cf8d3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5") model = PeftModel.from_pretrained(base_model, "chauhoang/620be513-90da-06ab-a04f-bd410a8cf8d3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49b4e5c68eb64b7b9c3473bb7f8374959abc9f7a2eba492d00be8a1457810825
- Size of remote file:
- 94.4 MB
- SHA256:
- 3fdfe74044799c2d681ddeb8f795fa19b7b298007751b096d62a1d240b818aeb
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