Instructions to use ishmeet1995/CallRecordingTranscriber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishmeet1995/CallRecordingTranscriber with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ishmeet1995/CallRecordingTranscriber")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ishmeet1995/CallRecordingTranscriber") model = AutoModelForSpeechSeq2Seq.from_pretrained("ishmeet1995/CallRecordingTranscriber") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ce0a262ce6839db4429cac5787f9704e131a3546a6a16cc63581d29d5a76438
- Size of remote file:
- 967 MB
- SHA256:
- 8083a95800c0adf6b374c8371629abb5bd09427fdca9f85c1e71db0eac24ff5c
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