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:
- b54b14672267edad310ad424e3f722e22393ed86755ddb6f97679fe1b001015e
- Size of remote file:
- 48.3 MB
- SHA256:
- eced70526bcbc8d74c345535d8ac2dc93af233bcb7c1c076845dabc394401335
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