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:
- fd020fd722a2c858f1fd436c7a38923d94f16356c1cef09ec833c245015b01bf
- Size of remote file:
- 1.63 GB
- SHA256:
- e4f75ea1cfb4c666da971c8598f5f1c01f447e5b2062be50b6ed13e9b3aad120
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