Instructions to use basilkr/Bleu_error with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basilkr/Bleu_error with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="basilkr/Bleu_error")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("basilkr/Bleu_error") model = AutoModelForSpeechSeq2Seq.from_pretrained("basilkr/Bleu_error") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12f33f3856511ad612bf345d621a465b624eb70268473f6b557e7cbd47313f45
- Size of remote file:
- 627 Bytes
- SHA256:
- 773b9a22048069b1495b8e1a3ada9ad5b49a7527087345c185640ee28f4005a5
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