Instructions to use duyphu/76b2d76f-2806-4468-b061-b77a8dad386a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/76b2d76f-2806-4468-b061-b77a8dad386a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "duyphu/76b2d76f-2806-4468-b061-b77a8dad386a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99e0ab1e86f2e0892595003fb8957b74d494e782f73f240e773a0f67067e7d0c
- Size of remote file:
- 84 MB
- SHA256:
- 6a284694583d22645968dace66b149447482fcfd58933c6732e8ba1f6df90f8d
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