Instructions to use AlanRobotics/FRED-T5-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlanRobotics/FRED-T5-alpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ai-forever/FRED-T5-1.7B") model = PeftModel.from_pretrained(base_model, "AlanRobotics/FRED-T5-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf72156f17dce37b368816074f8b549824c6f0f9517ebe1ed211ea737547116e
- Size of remote file:
- 14.3 MB
- SHA256:
- ffd6f86c5b284969f3b6b2dc22b9cb32f2ca9622e7b91553cf05c4d38a76bb37
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.