Instructions to use prows12/asd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prows12/asd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="prows12/asd")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("prows12/asd") model = AutoModelForCTC.from_pretrained("prows12/asd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from prows12/asd: direct link, hf CLI and curl.
- Browser
- Download file 71 Bytes
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https://huggingface.co/prows12/asd/resolve/main/README.md
- Command line
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hf download hf://prows12/asd/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/prows12/asd/resolve/main/README.md
71 Bytes
metadata
metrics:
- cer
- wer
pipeline_tag: automatic-speech-recognition