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:
- 1ba83eab4b3b41f1ee131978f2b18127aefc88dc1cd24e3b5bd174d8780b8693
- Size of remote file:
- 5.43 kB
- SHA256:
- b8b402a790e92f4a3d06e7b8533fd2467d5db5bfed0729c550812a92a18a479f
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