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
Training in progress, epoch 1
Browse files
adapter_config.json
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adapter_model.safetensors
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runs/Jan23_14-03-44_5192382e3c50/events.out.tfevents.1737641062.5192382e3c50.61971.0
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training_args.bin
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