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:
- 021f3222c9f139d2604ffed6a53cd25d7df42fcaba72b3968e6ccb1fa91fd712
- Size of remote file:
- 131 MB
- SHA256:
- f932a7f6af7ecf22ed10ae5ef43e3515ce5ae8605087025bef91b87a52248bc5
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