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:
- 3897f6ffb34aca418ac02eb236715418ae98f6724350246bb7fafcc0ae539dac
- Size of remote file:
- 94.4 MB
- SHA256:
- 1e6279c142d367b746fd6df2a53a0d8b9c3ae722e6b68ce1ac5810c65491a093
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