Instructions to use hipnologo/falcon-7b-instruct-qlora-truthful-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hipnologo/falcon-7b-instruct-qlora-truthful-qa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vilsonrodrigues/falcon-7b-instruct-sharded") model = PeftModel.from_pretrained(base_model, "hipnologo/falcon-7b-instruct-qlora-truthful-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01df360d5e9ba41a3f639deb19ea85187d55f89fe976284b2102c4aa411db3e7
- Size of remote file:
- 9.95 GB
- SHA256:
- be36cfc58e42e1fb024ab36b8d227f2f33b5aaa651184f283db79d8cd55ef10f
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