Instructions to use souging/8365f1cb-e13d-4761-b226-ca931a1b0486 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use souging/8365f1cb-e13d-4761-b226-ca931a1b0486 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dltjdgh0928/test_instruction") model = PeftModel.from_pretrained(base_model, "souging/8365f1cb-e13d-4761-b226-ca931a1b0486") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae4156f77725daa464b3b98a6c89ba793cacbb0f8d09287afb3bcb23d6cddcf7
- Size of remote file:
- 171 MB
- SHA256:
- 63ab2f53e32b988e7b623a77f3f17f4e022f3ef5bca532fcecfc761472498089
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