Instructions to use hts98/demo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hts98/demo_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hts98/demo_model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hts98/demo_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("hts98/demo_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 280
Browse files
pytorch_model.bin
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runs/Apr25_16-39-29_390952ba0ffe/events.out.tfevents.1682440778.390952ba0ffe.488.0
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