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:
- df5e2ce363cd36efc3acb84f548f62a9fbf0876e436c2dface5b1a5d1c4ed2f4
- Size of remote file:
- 43.1 MB
- SHA256:
- 3331993df7ffbf6e5defe7f1351aae5da21c0bcf97510f54d5d1e446f120a58a
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