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:
- d1794b8d7f295214db52650443ac0cce99547b128988d21d119a413e89adcec2
- Size of remote file:
- 816 MB
- SHA256:
- 717f9d8d14414e6653aa0043222701c169aaedb75bb4ecd3df530868c5d162e3
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