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:
- 32270b360efa7a0f54f30c6d488041df75d8bebc00aa7ad7f3e3d2845e14c61a
- Size of remote file:
- 14.2 kB
- SHA256:
- be8a0f455b08eb43e4bbf87a595cb3be3a091262695326052d0a7f317aaadfe1
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