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:
- 41af954e68ab62b865d88bf7a8978cf4b5c0f10ff0e26d5659fc5ea54a89b215
- Size of remote file:
- 3.26 kB
- SHA256:
- ea41f43eb1240f44af43e081b5ea7293edb1755ba599426461bba32f9628ee33
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