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 scheduler.pt from SigmarAI/MT5: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/SigmarAI/MT5/resolve/main/scheduler.pt
- Command line
-
hf download hf://SigmarAI/MT5/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/SigmarAI/MT5/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- 116de3c4b0f00b8e2a1b070a0d39b8aedc3418465188c42bb984e5781e8987bc
- Size of remote file:
- 627 Bytes
- SHA256:
- 7320dbee696148a683ed02ced8257e1785587fa14d6c0e235b97ce48f2bb6355
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