Instructions to use nooobedd/wav2vec_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nooobedd/wav2vec_custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nooobedd/wav2vec_custom")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("nooobedd/wav2vec_custom") model = AutoModelForCTC.from_pretrained("nooobedd/wav2vec_custom") - 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:bd4bbc3fe9121750711f42ce94099d6dc6fd8b6611667677fe09776f2d4930e4
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size 719424580
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