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:
- 92d447988a5d42dc09a316d3ad396619aeb65812d53b81644ba55c42599ba0fa
- Size of remote file:
- 5.43 kB
- SHA256:
- 75f93f636fabc6882ff6f3dd11d50de951f4a934b3ee5f19cd2565485d48545c
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