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:
- 0dfc789c8c3fa114daa7378dff8aafd50e416dd83d40cb513fcfd7a430ff9b21
- Size of remote file:
- 816 MB
- SHA256:
- 89500ed33b7d260f19277f4dd5d3f731abdc8a875dfce5417e619589513609c5
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