Instructions to use hajar817/whisper_tiny_CV_AV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hajar817/whisper_tiny_CV_AV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hajar817/whisper_tiny_CV_AV")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hajar817/whisper_tiny_CV_AV") model = AutoModelForSpeechSeq2Seq.from_pretrained("hajar817/whisper_tiny_CV_AV") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4393059f88669d7cf2ff1ba6b5bc8209095b33a38e267b437dcde84aa4e86d1
- Size of remote file:
- 5.05 kB
- SHA256:
- b594d908ff7dee7d9420719569e4091141841cf226b597877468992f1752af2c
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