Instructions to use SLPL/Sharif-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SLPL/Sharif-wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SLPL/Sharif-wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("SLPL/Sharif-wav2vec2") model = AutoModelForCTC.from_pretrained("SLPL/Sharif-wav2vec2") - Notebooks
- Google Colab
- Kaggle
Commit ·
73136c8
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Parent(s): a62eb56
add : model added.
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b9404f6a4062df4a3c87e34982e6facb4d9840ccee2d210d8c2aec0155d1517
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size 1262062705
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