Instructions to use nhung03/ddf81ae0-fd56-49a8-a0be-da1168aca772 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/ddf81ae0-fd56-49a8-a0be-da1168aca772 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "nhung03/ddf81ae0-fd56-49a8-a0be-da1168aca772") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5a8fa8d6b7c17edbb454df1b41f4bb79533827e71cd015be7025564e09d2a2e
- Size of remote file:
- 6.78 kB
- SHA256:
- fffcf1da8713372f28cff39eeac89cbc7ae48b0a70db1541431ea70a1d1bc19b
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