Instructions to use lorahub/flan_t5_large-squad_v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lorahub/flan_t5_large-squad_v2.0 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "lorahub/flan_t5_large-squad_v2.0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ac27ff35791ebc051bc287f95face450c424c713f1d50687e64585c0bdc9e11
- Size of remote file:
- 19 MB
- SHA256:
- a430f63c8ccc9c2af75248a364c2af2180dad7aa0b045e559bab13edb5e1b97e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.