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:
- 5c55ecd40b28836746c751a0e5ea191dc14ccca3bfd5afa0f513843d503dd052
- Size of remote file:
- 5.43 kB
- SHA256:
- dc13625f2df2d490526a199da0ddb7c9f2afdc23f5c685b669bd05eeb7b9602c
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