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:
- 5542083b0b2e904b33406bc4a5bb26aa0dbc73f179e9434f9413609a439fc854
- Size of remote file:
- 5.43 kB
- SHA256:
- e19bc51650d35f8477de39eea4475d67d9d08889eba1fc840be1353d7a994ba4
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