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:
- a2727d250b45bbfa8ee94857c1b33270f6f174f23ef8ff363b3a1cd5ba8f13cc
- Size of remote file:
- 1.63 GB
- SHA256:
- ffe0de493dbdcd1d373d62c40cd519d37dd1ac08bbaf3a8439004db248cdd8ee
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