Instructions to use bh4/whisper-ben with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bh4/whisper-ben with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bh4/whisper-ben")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bh4/whisper-ben") model = AutoModelForSpeechSeq2Seq.from_pretrained("bh4/whisper-ben") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (01078db9be7f8eec0881054fa4f4d061e56ee03e)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ba5c0d480ee0b9a588d6f2ac4979d4e3cc2af026303611c3cc52f1584f956ff
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size 1527827760
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