Instructions to use google/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bce3eba9ede8f1e0d92060b18c3ebaa8850098eba39030c06514375178cebde
- Size of remote file:
- 2.33 GB
- SHA256:
- bb0f8aebbffb9c645a1f47bacf31a33c9cba9426ae3e5a25b8748c7ba63ff573
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