Instructions to use SigmarAI/MT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SigmarAI/MT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SigmarAI/MT5") model = AutoModelForSeq2SeqLM.from_pretrained("SigmarAI/MT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SigmarAI/MT5: direct link, hf CLI and curl.
- Browser
- Download file 3.2 kB
-
https://huggingface.co/SigmarAI/MT5/resolve/main/training_args.bin
- Command line
-
hf download hf://SigmarAI/MT5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SigmarAI/MT5/resolve/main/training_args.bin
3.2 kB
- Xet hash:
- 05479a7afc3d6d04e66d47808e66289aa458b2da08779dce9c038a0aaa847187
- Size of remote file:
- 3.2 kB
- SHA256:
- f66e0d344ba9964fe0772033d78d5fd65892f1aef9d3d5b90d28e6711964d2bc
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