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:
- 16f5f1864c85b7de5d4e27d5ee9172f0a293d8d2716af3e97dd994d65cc52ab2
- Size of remote file:
- 16 kB
- SHA256:
- c2e76b32879828b64df4e123b2630b40a652c897e07ba33e72d88a5feedb2a2b
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