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:
- 69240f1b13716e16d38284256a8edaf71a9ac7e6332def45ee01a6942a027161
- Size of remote file:
- 294 kB
- SHA256:
- e90d1ac0b2266ee9644136566d7ab145eca2d8eb365bfebcb48f1c3723d910d4
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