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:
- 790386674c3c4afc6a8ed1a3e7d89b28df022eb7977455a3086bbcbdf7dfc33b
- Size of remote file:
- 1.63 GB
- SHA256:
- c739ab588669211466f5f20951b4fd0430f92aa61711004e5b0c90729419d32d
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