Instructions to use iamnguyen/mtt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamnguyen/mtt5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("iamnguyen/mtt5") model = AutoModelForSeq2SeqLM.from_pretrained("iamnguyen/mtt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fcbd0b589535bdd190c509f814e2448b85a90b6e49ef49db4ae3ee005a62686
- Size of remote file:
- 5.24 kB
- SHA256:
- 6a05b39c84dbf67327b54c00b0712aecde2c94f9948f9a446688d5d5d918449e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.