Instructions to use hf-internal-testing/tiny-random-UniSpeechSatForCTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UniSpeechSatForCTC 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-UniSpeechSatForCTC")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForCTC") model = AutoModelForCTC.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatForCTC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d0af8b17fd7300a59c7b0cb125f4bb4ad30edbda19b7104aa386e0cad010c46
- Size of remote file:
- 136 kB
- SHA256:
- 4907292b52b3dbdd9d6dd705103c71e81ebb7e93ea740b61a048474634a48446
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