Instructions to use charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61") model = AutoModelForSpeechSeq2Seq.from_pretrained("charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
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https://huggingface.co/charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61/resolve/main/tokenizer.json
- Command line
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hf download hf://charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/charlesfrye/ap-vIPVV9dqluiiO2kf7JwA61/resolve/main/tokenizer.json
3.93 MB
File too large to display, you can check the raw version instead.