Instructions to use philschmid/tiny-random-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/tiny-random-wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="philschmid/tiny-random-wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("philschmid/tiny-random-wav2vec2") model = AutoModelForCTC.from_pretrained("philschmid/tiny-random-wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gitattributes from philschmid/tiny-random-wav2vec2: direct link, hf CLI and curl.
- Browser
- Download file 737 Bytes
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https://huggingface.co/philschmid/tiny-random-wav2vec2/resolve/main/gitattributes
- Command line
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hf download hf://philschmid/tiny-random-wav2vec2/gitattributes
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curl -L -o gitattributes https://huggingface.co/philschmid/tiny-random-wav2vec2/resolve/main/gitattributes
737 Bytes
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