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:
- efb2c77c9828a6cec8b9ba027be64fb15a806d920380ce819f668c6d992d7e1c
- Size of remote file:
- 4.12 MB
- SHA256:
- 27037223656a24d8c772916b6319ed80390339bcfb83dce8df1fee421d25f5a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.