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:
- 107c07db75fdf0fe0dadcc6ccce99864cb4061aa98e7a44fc6c11503bf4ddb6a
- Size of remote file:
- 1.22 GB
- SHA256:
- 4f19b14ce7a3371db8bb3bfb107904d19c83374b3f6b7e02a10a1774968485d6
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