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:
- 59de0552f1f711e16307cb2b9889973b047f33ec2309c1169267770cbaafd9f5
- Size of remote file:
- 1.63 GB
- SHA256:
- 357664d06513b23ef36b8ff27211d422b640b6ebe7289ddf4f7da568dc5b98cc
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