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:
- 08c225faaed4a3cf761a1b4df7aabac1e50c8426447421c2d89a9c941d5578e3
- Size of remote file:
- 2.44 GB
- SHA256:
- 6ebdefb3079ee365fe29c258eb08d03af6d20f1e7845937143fa4a3a9ae3b034
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