Instructions to use Marialab/finetuned-s2t-1000-step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marialab/finetuned-s2t-1000-step with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Marialab/finetuned-s2t-1000-step")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Marialab/finetuned-s2t-1000-step") model = AutoModelForSpeechSeq2Seq.from_pretrained("Marialab/finetuned-s2t-1000-step", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a914f68d1bf33129ddd86b99a8f451e1c43ee30b4d107ba484cbf76ac59e9e95
- Size of remote file:
- 410 kB
- SHA256:
- ccd9bc57fef83ec633abb6496fa47c9660891b9acca2b487671395dba2173772
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