Instructions to use Aanchan/psst_model_cer_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aanchan/psst_model_cer_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aanchan/psst_model_cer_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Aanchan/psst_model_cer_2") model = AutoModelForCTC.from_pretrained("Aanchan/psst_model_cer_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Create tokenizer_config.json (#1)
- Create tokenizer_config.json (79592f2f5363eafd70cbb55155716256ebe06df9) Co-authored-by: Jordan Lewis <JordanWHLewis@users.noreply.huggingface.co>98a1de5
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