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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57648f79407e10e3f8222454165abce3b8e3d8156eec3f7497acaf07372e926f
- Size of remote file:
- 1.63 GB
- SHA256:
- e66bea199cb47afa2a53f934a21e13e66e906f767fa6fedb5b98100e8158bb9f
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