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:
- 1ef10cd5015ad5315a19426e9bc7bff88babcb913957cae7d5b15b83112be38c
- Size of remote file:
- 2.43 GB
- SHA256:
- fd638c5dcd3d84d0357114b75398d0c563543286e672d9143d2e7401b104d93f
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