Instructions to use chaanks/wav2vec2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaanks/wav2vec2-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chaanks/wav2vec2-small")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("chaanks/wav2vec2-small") model = AutoModel.from_pretrained("chaanks/wav2vec2-small") - 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:c437f7f1f2a3e73bc174826b562ab7f561b013e7a4b0b894436ba838e46d8fc1
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size 377507424
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