Instructions to use allenai/unifiedqa-t5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/unifiedqa-t5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("allenai/unifiedqa-t5-large") model = AutoModelForSeq2SeqLM.from_pretrained("allenai/unifiedqa-t5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ead74fab99e136d1f14d74de37a241a1180a847f5d5ed5b738f17cb943391a5c
- Size of remote file:
- 2.95 GB
- SHA256:
- 7380448eb7c0c3a6c5e948f47cc2dcbd0bf752226662cb098f0540c446f3085c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.