Instructions to use patrickvonplaten/wav2vec2_tiny_random_robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2_tiny_random_robust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/wav2vec2_tiny_random_robust")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("patrickvonplaten/wav2vec2_tiny_random_robust") model = AutoModelForMultimodalLM.from_pretrained("patrickvonplaten/wav2vec2_tiny_random_robust") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Test model
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To test this model run the following code:
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---
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language: en
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datasets:
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- librispeech_asr
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tags:
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- speech
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- audio
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- automatic-speech-recognition
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license: apache-2.0
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---
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## Test model
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To test this model run the following code:
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