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:
- 841d26c5e4ba81f7c6b48c90b0e4c0774c66565212a864633bb84887d143ab60
- Size of remote file:
- 6.26 kB
- SHA256:
- 1374dc08f3b8ef62277e3ff9ab13fb0e17955003d7d7244ed20e7b3e268bfa7f
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