Instructions to use andrk9/PIRSData with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andrk9/PIRSData with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-70b-hf") model = PeftModel.from_pretrained(base_model, "andrk9/PIRSData") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe57bc6fa2a285fb7f20c9fbf4578bec276230630f58e413da873cd8899bf7c8
- Size of remote file:
- 131 MB
- SHA256:
- 63e609378f34d3612474ffc8b5abd122c6d145243a1294dd6cda2a1067d8e0ec
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