Instructions to use ronvolutional/anton-l-wav2vec2-random-tiny-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronvolutional/anton-l-wav2vec2-random-tiny-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ronvolutional/anton-l-wav2vec2-random-tiny-classifier")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ronvolutional/anton-l-wav2vec2-random-tiny-classifier") model = AutoModelForAudioClassification.from_pretrained("ronvolutional/anton-l-wav2vec2-random-tiny-classifier") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - custom | |
| Clone of [anton-l/wav2vec2-random-tiny-classifier](https://huggingface.co/anton-l/wav2vec2-random-tiny-classifier) with custom tag. | |
| Model SHA as of 2022-08-27T14:36:23: `6e3a1a53403754ac132e77c27976a9cbefcb45bb` | |