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:
- e0c571fef23ee2a0d1a2861bd3800016d96ee2d53bfdd01d2c71af5d67372fda
- Size of remote file:
- 6.78 kB
- SHA256:
- 3710f0fed4dc8b5d0c3ba7ecdf110792b9e2bda322a285095a8ae53efcf85115
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