Instructions to use google/mt5-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-xl") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08e84df50ec5302d4938eb03e6233192b63d53e4de9a5e1e0e20bdffbda95606
- Size of remote file:
- 15 GB
- SHA256:
- e8476fa86e6aa96018c87281e68806c4599939caa60e7cfc17b6fbd99209fdfa
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