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:
- 84c3aa350e40a2cfe1adc69edf8952d0354791c1f6688f014ce51c3369c5b958
- Size of remote file:
- 131 MB
- SHA256:
- d4b41aaa2ff189b2a834053ad096c135f5c88ccb616ee466390cb9b512c7a6cc
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