Instructions to use viv6267/Experiment-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use viv6267/Experiment-2 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-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10ab64e82fada30e8c54c3db8e98fc2869a17ef8fcbbb2ccb3bf6084ffc3e701
- Size of remote file:
- 5.37 kB
- SHA256:
- d0f549914bb146edba084cc7c488beb4f938a6cae699f3964a4cb390e21fb8da
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