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:
- ed3b46e3d86697ecbffee5ceb04f987b2373619370ea5a24ac891581a6c8e986
- Size of remote file:
- 320 MB
- SHA256:
- 83b3dee010194bc7e240595485d95794307e9b507af80667a70f9aab02b6c3ee
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