Instructions to use multidefmod/dore-mt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use multidefmod/dore-mt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("multidefmod/dore-mt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("multidefmod/dore-mt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0bb7a4a46ebf3ac2a728a47527cc7f6e4043c2f1db1788039a1a9044f1d406b
- Size of remote file:
- 4.92 GB
- SHA256:
- 8a298c30a12f7a27d561c9a99a83f20660e2c2a89edf5c80c83130bf86fc5c1d
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