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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2f26192964c52500b2ba4182ed42d8a4572fab50c925b0174cbfe95bc2a175e
- Size of remote file:
- 4.86 kB
- SHA256:
- c167434ec01a6616d4d076d63484cb51b37da864584b911fb708a00090f0aad1
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