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:
- 82b9e3997a711e9be680908d39842de2050c5660be0f6f3f1fe11770c0d785e8
- Size of remote file:
- 5.43 kB
- SHA256:
- 7bbfa0b662d2f2a575d8e0fe7d3a40efcea245c8cd2a4bd8807e3916cd3d86ea
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