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:
- 5caaac6c9661e00b047cbe514d58ef4b89e656914af097610ef9849daa23a80a
- Size of remote file:
- 7.52 MB
- SHA256:
- 275296b14d81239a41d08dcb9e7613223687e3f129673ab4173c7b6c2a9e48fb
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