Instructions to use Sara5115/dialect_conversion_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sara5115/dialect_conversion_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sara5115/dialect_conversion_model") model = AutoModelForSeq2SeqLM.from_pretrained("Sara5115/dialect_conversion_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03ee22d254ea237bab74b9e9b7bb76111936f125043b7744d52aa75fac320f0f
- Size of remote file:
- 5.43 kB
- SHA256:
- 2c42d5173e3819fa2d568b6c6fe244b7b6d0bf9c3a90ef316168cdc39c085f59
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