Instructions to use pinot/wav2vec2-test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinot/wav2vec2-test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pinot/wav2vec2-test2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pinot/wav2vec2-test2") model = AutoModelForCTC.from_pretrained("pinot/wav2vec2-test2", device_map="auto") - 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:d172fc1589b44e02673df4d0a8cffa72f4e14d68360a938bb6e862a44f14fdb6
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size 1272483864
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