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:
- acf5bade8c61e201338d054826fe067b835234d124bfa6024e4ecef35c91d006
- Size of remote file:
- 6.84 kB
- SHA256:
- 26a64d49dc5c4a7296a4dda83cb32e7732151094db8a90303b5f9f85e4efa4c5
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