Instructions to use SPEAK-ASR/sinhala-asr-corrector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SPEAK-ASR/sinhala-asr-corrector with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SPEAK-ASR/sinhala-asr-corrector") model = AutoModelForSeq2SeqLM.from_pretrained("SPEAK-ASR/sinhala-asr-corrector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51b5fe0f893d35cf4a70b2d20bbe41cd7ceae80eece7e41c5ffdc6a9e2b9725e
- Size of remote file:
- 16.8 MB
- SHA256:
- 676d9c7975947dd729af8aba3357935f3cd2374b50e5d74b4252b99560e715ec
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