Instructions to use multidefmod/dore-mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use multidefmod/dore-mt5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("multidefmod/dore-mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("multidefmod/dore-mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 643f602a860a7d702c3ffa9e2bdc4b73920ba48dff442e1a5b7b1e1e15e70010
- Size of remote file:
- 2.33 GB
- SHA256:
- 7e390ced4a55692b97939ccb974a61e49404c08c6371269be049677bdf15b209
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