Instructions to use rosyvs/whisat-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rosyvs/whisat-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rosyvs/whisat-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rosyvs/whisat-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("rosyvs/whisat-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 587929c8b90b2c16089b54bc1cd4c1483c7db354394293d21596e7564f9a1195
- Size of remote file:
- 291 MB
- SHA256:
- 09cd10d25028e9b2ae84581a7579a04a4987b41cfb51a731aedeead7feb06e69
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