Instructions to use hf-internal-testing/tiny-random-HubertForCTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-HubertForCTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-internal-testing/tiny-random-HubertForCTC")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-HubertForCTC") model = AutoModelForCTC.from_pretrained("hf-internal-testing/tiny-random-HubertForCTC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9a13fb0fd59a7673a07afbd3f1ef4e425a5b71a2659bc3dd5bc03d087e87af1
- Size of remote file:
- 118 kB
- SHA256:
- 1c11c63090fb051a3ad0d311cef95f0cb1afd58250354175594b793e1b452781
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