Instructions to use google/mt5-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-xxl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-xxl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e67d135a6d1e085f9d89b8677fdc1d851e670e2d22f2a175e94d1a2cec4a1a69
- Size of remote file:
- 51.7 GB
- SHA256:
- a7a43bfc6c4a27b2788cb50179e18d1ed6558007bddf12b08ef39fa8a06c6e9c
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