Instructions to use Foxasdf/EnglishSpeechToText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Foxasdf/EnglishSpeechToText with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Foxasdf/EnglishSpeechToText")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Foxasdf/EnglishSpeechToText") model = AutoModelForCTC.from_pretrained("Foxasdf/EnglishSpeechToText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c112d7427e2aa34110ece1e4cd39d564e0a893dc4083830d5f551d3f6f20de3
- Size of remote file:
- 3.96 kB
- SHA256:
- b2627c1a739df36793e6472b067104a2c9544eb839a11cbceb8f6f79ac2576ba
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