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:
- 9b91e7d35e1ea36d9562ae59c39d9be50edb4e7c17b638d1d7cc83d64bee7b7e
- Size of remote file:
- 135 kB
- SHA256:
- fbf828c2fd7263942dff6174d651155c589c82df56493bf681e6551620d6ea54
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