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 optimizer.pt from SigmarAI/MT5: direct link, hf CLI and curl.
- Browser
- Download file 4.12 MB
-
https://huggingface.co/SigmarAI/MT5/resolve/main/optimizer.pt
- Command line
-
hf download hf://SigmarAI/MT5/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/SigmarAI/MT5/resolve/main/optimizer.pt
4.12 MB
- Xet hash:
- 99fea962b4b22aab070684477908bd159e5d37d8874bce27a3574b021754f5b5
- Size of remote file:
- 4.12 MB
- SHA256:
- f4dd1baaf5b1d715d3178cacd76d862f453db01dbfd8ac327b843880fc9efb5b
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