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:
- bedb2d6d33ee7d270abadb5dbda7d77c11d20f05e1a3d412d108e9fccb4f000f
- Size of remote file:
- 1.63 GB
- SHA256:
- bf026c44f7338a3401e3edd965e422ce868b89be1e3244474a0733452fad9e91
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