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:
- 316876bab414f6e61d21927bb95a0b23de89110c94e0fe8dffed57090b6c6db2
- Size of remote file:
- 131 MB
- SHA256:
- 8098efa09a64b1fcc8326dd62e171a71ab1c0f95e20015654d914ad8fbfb5880
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