Instructions to use MrPotato/ref-seg-ger_large_tokenized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrPotato/ref-seg-ger_large_tokenized with Transformers:
# Load model directly from transformers import AutoTokenizer, XLMRobertaForReferenceSegmentation tokenizer = AutoTokenizer.from_pretrained("MrPotato/ref-seg-ger_large_tokenized") model = XLMRobertaForReferenceSegmentation.from_pretrained("MrPotato/ref-seg-ger_large_tokenized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 720c105f65bbd77ca314bfd706aeaffb0deb755ab7542fea9dd377a9045d1d4f
- Size of remote file:
- 2.24 GB
- SHA256:
- 1852cb713247470c121f204ac87117b7e2a383b410b6cbaf59acd2138340b614
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