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
Download training_args.bin from multidefmod/dore-mt5-base: direct link, hf CLI and curl.
- Browser
- Download file 3.26 kB
-
https://huggingface.co/multidefmod/dore-mt5-base/resolve/main/training_args.bin
- Command line
-
hf download hf://multidefmod/dore-mt5-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/multidefmod/dore-mt5-base/resolve/main/training_args.bin
3.26 kB
- Xet hash:
- 215528abe98db523201380dbfdf59dfc8039cd253d0a2466b7d9239a3cd74765
- Size of remote file:
- 3.26 kB
- SHA256:
- 9e51e80640e9ff5dce34b70cef3479b89771a12aa704d4f110d81d3277faf4c1
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