Instructions to use monideep2255/psst_batch_size_16_base_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monideep2255/psst_batch_size_16_base_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="monideep2255/psst_batch_size_16_base_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("monideep2255/psst_batch_size_16_base_model") model = AutoModelForCTC.from_pretrained("monideep2255/psst_batch_size_16_base_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update model card README.md
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psst_batch_size_16_base_model
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initial commit
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