Instructions to use codeinout/whisper-small-mine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeinout/whisper-small-mine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="codeinout/whisper-small-mine")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("codeinout/whisper-small-mine") model = AutoModelForSpeechSeq2Seq.from_pretrained("codeinout/whisper-small-mine") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:bb2c2c872c6f8afa1cf82e9daff78f23d7cbf8789e0bb1068789e0b05e8193f3
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size 966995136
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