Instructions to use lenguist/mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lenguist/mt5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lenguist/mt5") model = AutoModelForSeq2SeqLM.from_pretrained("lenguist/mt5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47858a80ba444721a3f7054baf8df0c0aeb7c6e18e3f125d05e7813f962a5c4b
- Size of remote file:
- 16.3 MB
- SHA256:
- faaa6405f5f79c9e788c7980874a9a3b5b0aea07b53bd9243bf1abb8f5c49c81
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