Instructions to use kdearsty/llama-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kdearsty/llama-testing with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("stas/tiny-random-llama-2") model = PeftModel.from_pretrained(base_model, "kdearsty/llama-testing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91255bbe8963452f71049b0d0740dec39f3375b34a6bed4ae9ddeee10b0ab673
- Size of remote file:
- 1.33 GB
- SHA256:
- 9c56ecdaf9492a1eb332453615acfd0f420e38fb475b20d8c467996e6c722cbe
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