Instructions to use google/roberta2roberta_L-24_discofuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/roberta2roberta_L-24_discofuse with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/roberta2roberta_L-24_discofuse") model = AutoModelForSeq2SeqLM.from_pretrained("google/roberta2roberta_L-24_discofuse") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8deac5fae77973bba327e0e1a4f514175a3861cd49a84f21c8142e068e0bf008
- Size of remote file:
- 1.82 GB
- SHA256:
- 82568c86e1b45130efa9573d4734bc2c65d5307a2b6a55886126e4297ea087e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.