Instructions to use ahazeemi/pruswav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahazeemi/pruswav2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ahazeemi/pruswav2vec")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ahazeemi/pruswav2vec") model = AutoModel.from_pretrained("ahazeemi/pruswav2vec") - 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 sha256:74d10df41ccac75a46b0bba94aa037e35e8c823ddb43bbdebde0e9dd673f2049
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size 377510584
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