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:
- 22b6986678b8a1e9912a48fd4a0433b27f34b8fc022ba8081b6047f4dc9bb5a0
- Size of remote file:
- 213 kB
- SHA256:
- 697ac17d793715300eeb41bc5805d45218d6f69fa9d26a3773e20354e23cb0fa
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