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:
- 3057e3866ea14ecba29dcb2a7f1457b370b1efa4e710c14a638e4dd997af5136
- Size of remote file:
- 18.9 MB
- SHA256:
- e5c1bc67d09d84e46e70136b613bd470a959c27f60cf87bd88cefdf8d47cccbf
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