Instructions to use google/mt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e8e062ed436cd79525e78c2f5745648c4f9d0e775252683c12536e6c189e457
- Size of remote file:
- 1.11 GB
- SHA256:
- 11fd7060e629601625c40050410709ddca1db9695fcd0966827dd7a9e6fd3c5b
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