Instructions to use hf-internal-testing/tiny-random-data2vec-audio-frame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-data2vec-audio-frame with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForAudioFrameClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-data2vec-audio-frame") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-data2vec-audio-frame", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27b22fb256412f386e5c81f9d8ce691c6bba93c9552c872c254ba1baef5af968
- Size of remote file:
- 305 kB
- SHA256:
- 38942334e4cf66dc5b74c046f0f194f9da216743a2c4e660ab0863a8f7773300
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