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:
- 9a427cd121c37c29c46600843cceddcc3fc1d0f69160fa2c3c8dcb0b1eb00958
- Size of remote file:
- 5.37 kB
- SHA256:
- 891bfe8c52959f942c994381aed3c786ca8d62d78bdacdced58992b1f51e4125
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