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:
- 73e7cb7bdd79e1929162250d3831158f541fe77623c90b81586bade3395f1571
- Size of remote file:
- 1.2 GB
- SHA256:
- da6165663a127404731ff30d00d5d949f6df9f8f699275c68ee1f4cb0976f994
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