Instructions to use google/mt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 840d0d64abaaabc1e703f5fbe01d20c8a3b7248b1bcd653655031c624bfba7af
- Size of remote file:
- 4.92 GB
- SHA256:
- f28f11f442f5850133fa50b2d5aefa8d19ab51469c56e0e89090534c2c7758c3
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