Instructions to use souging/bbdc624d-bd76-419e-bbc8-c23e6d7c3f32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/bbdc624d-bd76-419e-bbc8-c23e6d7c3f32 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("oopsung/llama2-7b-n-ox-test-v1") model = PeftModel.from_pretrained(base_model, "souging/bbdc624d-bd76-419e-bbc8-c23e6d7c3f32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3157a9de3153debf2cf6d28745611f241249c6f8b23b3e9d4db070b6e5bd708
- Size of remote file:
- 1.06 kB
- SHA256:
- 043092824777602976966449c2a2a96527a878ad10507a3b4d0f461ea2b8d14e
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