Instructions to use SigmarAI/Marian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SigmarAI/Marian with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SigmarAI/Marian") model = AutoModelForSeq2SeqLM.from_pretrained("SigmarAI/Marian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from SigmarAI/Marian: direct link, hf CLI and curl.
- Browser
- Download file 1.21 MB
-
https://huggingface.co/SigmarAI/Marian/resolve/refs%2Fpr%2F1/source.spm
- Command line
-
hf download hf://SigmarAI/Marian@refs/pr/1/source.spm
-
curl -L -o source.spm https://huggingface.co/SigmarAI/Marian/resolve/refs%2Fpr%2F1/source.spm
1.21 MB
- Xet hash:
- 424ecaacd9849e4231834d8af2ac2af77f386a1c32ca4ef022314af7ff1282e3
- Size of remote file:
- 1.21 MB
- SHA256:
- 01ecb88d0f92bbb20c21257b92e93e301a10971ecd60971e8e637bc3eacd9124
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.