Instructions to use hts98/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hts98/test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hts98/test1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hts98/test1") model = AutoModelForSpeechSeq2Seq.from_pretrained("hts98/test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 300
Browse files
pytorch_model.bin
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runs/Dec14_00-05-28_ba32571b79b0/events.out.tfevents.1670976336.ba32571b79b0.2454.1
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