Instructions to use levicu/LEVI_whisper_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use levicu/LEVI_whisper_medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="levicu/LEVI_whisper_medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("levicu/LEVI_whisper_medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("levicu/LEVI_whisper_medium") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2eae84157b8506bc46bbf72fed155c3041c0ca85f5cec1d7dd10922b9cf08dc0
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size 3055544304
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