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:
- cc7c046437fa472ce74fea85c044c8e7be51c7e70aae3e038b4f3ad035785fdd
- Size of remote file:
- 816 MB
- SHA256:
- 93bfc9d6b7f10d451be5ffee17c3e58d061c06085f41f350d8ddd4808a473289
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