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:
# pip install -U transformers accelerate # 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
hf-transformers-bot HF Staff
Update tiny models for Data2VecAudioForAudioFrameClassification
28ab3fa Download pytorch_model.bin from hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification: direct link, hf CLI and curl.
- Browser
- Download file 294 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification/resolve/28ab3fa763436a742b038a0f1ab3832450412a33/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification@28ab3fa763436a742b038a0f1ab3832450412a33/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification/resolve/28ab3fa763436a742b038a0f1ab3832450412a33/pytorch_model.bin
294 kB
- Xet hash:
- 8c9f09e3318fc6083105776f0827a590561aef2f500385991b8092bd3356b0a2
- Size of remote file:
- 294 kB
- SHA256:
- ccd921d9f8dc887f88c5e10ddec6cc864e06868e00ed716aadfab24655b4cf2a
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