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:
- 472fdf9c750d9c2320dcfcc6b402292fa688291ed46280ee077bcb029df4c54e
- Size of remote file:
- 1.63 GB
- SHA256:
- 0955b34ca11c05c431d519b3e089087561a0907686f4a6887dc4c85e970ffc8e
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