Instructions to use nhunglaaaaaaa/df2defed-f47e-4360-bf9f-0fd29cb5fa2c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhunglaaaaaaa/df2defed-f47e-4360-bf9f-0fd29cb5fa2c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dltjdgh0928/test_instruction") model = PeftModel.from_pretrained(base_model, "nhunglaaaaaaa/df2defed-f47e-4360-bf9f-0fd29cb5fa2c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d58f086498a27a140de7317d0b635bf0545e6f19f40176dc9cb6916b6fd74c31
- Size of remote file:
- 6.78 kB
- SHA256:
- 47943d5216719992e4fef4f5babf32d60ad325a832f987b694d766f6e8fec875
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