Instructions to use spsither/wav2vec2_run3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spsither/wav2vec2_run3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="spsither/wav2vec2_run3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("spsither/wav2vec2_run3") model = AutoModelForCTC.from_pretrained("spsither/wav2vec2_run3") - 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:b54de8a8631e98a21899b2a2f5fd1f8c0c976d709c1802e58dc51262874ba3ad
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size 1262270732
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