Instructions to use diaenra/4e2d3bf8-f246-45a9-a2b7-a84381f21af8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diaenra/4e2d3bf8-f246-45a9-a2b7-a84381f21af8 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, "diaenra/4e2d3bf8-f246-45a9-a2b7-a84381f21af8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fae57ab23ff75ed779813cb2863ec4952a12da5c6d21e92743d53e5b9fdd923
- Size of remote file:
- 4.87 GB
- SHA256:
- c998a97ffeba17419d3b79e8f012c81f64f6c3e29ea5787760d9aeb6513a53bf
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