Instructions to use jjuliar/sabia-qag-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jjuliar/sabia-qag-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("maritaca-ai/sabia-7b") model = PeftModel.from_pretrained(base_model, "jjuliar/sabia-qag-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7961f7c2f1ad39ca9a32790cbc43dc98a542738c7beb6dff0693f4af631e453d
- Size of remote file:
- 4.92 kB
- SHA256:
- 29f98380746d74cfc36061a34b8bbe31e0b51609c91ed9d70bae696890bb3e8e
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