Instructions to use JoseLuis95/mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoseLuis95/mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoseLuis95/mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("JoseLuis95/mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12490c1b5c0d03db793b155cf989565eebe2676a604349f2af47dc6b8c7235c7
- Size of remote file:
- 16.3 MB
- SHA256:
- a0910f648726ceada34086ae80066cd253863e183cbb52ae566659a2d37716f0
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