Instructions to use fayez94/whisper-medium_codeMixed_ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fayez94/whisper-medium_codeMixed_ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fayez94/whisper-medium_codeMixed_ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fayez94/whisper-medium_codeMixed_ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("fayez94/whisper-medium_codeMixed_ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96cd3959c554df81dd3dc0fb9f030c00397979b1a42d946069078faf7fad5678
- Size of remote file:
- 967 MB
- SHA256:
- d13e4c71fb3cee346014147aacaf3db5d7ac55d29ea636f5eb38dff75b3a0c11
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