Instructions to use EricPeter/msc-baseline-marian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricPeter/msc-baseline-marian with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EricPeter/msc-baseline-marian") model = AutoModelForSeq2SeqLM.from_pretrained("EricPeter/msc-baseline-marian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40132e3b79dfb3e85fbff7ac72261489d6affc832fa443522c969175c64371e9
- Size of remote file:
- 5.24 kB
- SHA256:
- dd9395e59bed2f6384e0c693e2944381623a36a75b946cce5bfdab8eebcecec7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.