Instructions to use nhoxinh/e723689c-de78-4c87-93b2-661c46548e98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhoxinh/e723689c-de78-4c87-93b2-661c46548e98 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "nhoxinh/e723689c-de78-4c87-93b2-661c46548e98") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e7ab315383ba3610f9f9f756107d4720e52dd9b51dfe2fbfdc4c24f1db839de
- Size of remote file:
- 83.9 MB
- SHA256:
- 38855539d75f6d129d91b6bae69b42add7314f3b95691db8393a3a26a97ebe8f
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