Instructions to use hf-internal-testing/tiny-random-wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-wav2vec2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (a0201c0cc2f78da44027ead5bd502bd40456c78d) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>9123c4c
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Adding a dummy tag to be able to test API on this small model.
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Update config.json
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Update config.json
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v3
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v2 update
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Add model and configuration.
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initial commit
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