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 pytorch_model.bin from SigmarAI/MT5: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/SigmarAI/MT5/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://SigmarAI/MT5@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SigmarAI/MT5/resolve/refs%2Fpr%2F1/pytorch_model.bin
2.33 GB
- Xet hash:
- bf4669c2a854e22d2dc19d1e19614ce261c0cd85f10a6e6c3144e42a7210e014
- Size of remote file:
- 2.33 GB
- SHA256:
- 57e02dbdbfb13bcdecca12bc09455ab799659c324f02611f2ec029dff35b8f12
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