Instructions to use chauhoang/3dcd8f2b-28a1-be52-1c4a-0b09f044df97 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/3dcd8f2b-28a1-be52-1c4a-0b09f044df97 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/3dcd8f2b-28a1-be52-1c4a-0b09f044df97") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4a64b8f63c15a71e1459e1fce2f40000e623efe32d917e50aab3733fa9fa1fd
- Size of remote file:
- 94.4 MB
- SHA256:
- 734939771792f475321ba36876a39c2e3939d477c92295c873505ad69d400c76
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