Instructions to use BridgingVarieties/DialectBench-Reproduce-DEP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BridgingVarieties/DialectBench-Reproduce-DEP with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BridgingVarieties/DialectBench-Reproduce-DEP") model = AutoModel.from_pretrained("BridgingVarieties/DialectBench-Reproduce-DEP") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b8861bd1a9738e5bef9193fb34a5baa419bdb2faa8f77bdff301fcd16572af1
- Size of remote file:
- 816 MB
- SHA256:
- 258b8e46a25388d0a4b14693e72f23bccaeeb59ea68e5e8b802cd6af2013b95d
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