Instructions to use viv6267/Experiment-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use viv6267/Experiment-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "viv6267/Experiment-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 154783a4a07b6ff8076181b5f321a4da455cf2e357709b6fb7b9d25952b50b0d
- Size of remote file:
- 5.3 kB
- SHA256:
- 39ab4371c77da30dcad9140cad3fce0eaa75f4f1f808a59ceb959b276b242429
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