Instructions to use kennethzhang/whisper-large-nfl-large-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kennethzhang/whisper-large-nfl-large-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kennethzhang/whisper-large-nfl-large-model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kennethzhang/whisper-large-nfl-large-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("kennethzhang/whisper-large-nfl-large-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ad3889dff252b223df13001c05fd6e032f3a0c421b2254e004789904f2b057e
- Size of remote file:
- 47.3 MB
- SHA256:
- 0e933a7d92f3723d498e6d6e9d1021077610cf01ad54f760407283db25bf2059
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