Instructions to use hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForAudioFrameClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc47e9a1abc38e25f4f7cd1449ac4b29fab4249893ec8721ee41bcecbf4a9c5c
- Size of remote file:
- 294 kB
- SHA256:
- bb15c410a68aca16bf99a3795e01989342008eddc8fe9cb5b6d76ae27ab56dde
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