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:
- 452953e22253ad5de6b94a4063b93abbd4b03c184d3c66e965e1db614bd4c761
- Size of remote file:
- 5.3 kB
- SHA256:
- e03445a79e8dbf663b5d5e4d8d10b1bbab564daed91670a01ae2c366f83bdb1d
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