Instructions to use rohitp1/libri-alpha-1-Temp-1-processor-change with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohitp1/libri-alpha-1-Temp-1-processor-change with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rohitp1/libri-alpha-1-Temp-1-processor-change")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rohitp1/libri-alpha-1-Temp-1-processor-change") model = AutoModelForCTC.from_pretrained("rohitp1/libri-alpha-1-Temp-1-processor-change") - 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 sha256:2de42e04232618bf194544f0ea2948206e6b96573ff2ab6bc53606c28f12612d
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size 207490384
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