Instructions to use futo-org/acft-whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use futo-org/acft-whisper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="futo-org/acft-whisper-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("futo-org/acft-whisper-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("futo-org/acft-whisper-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from futo-org/acft-whisper-base: direct link, hf CLI and curl.
- Browser
- Download file 836 kB
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https://huggingface.co/futo-org/acft-whisper-base/resolve/main/vocab.json
- Command line
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hf download hf://futo-org/acft-whisper-base/vocab.json
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curl -L -o vocab.json https://huggingface.co/futo-org/acft-whisper-base/resolve/main/vocab.json
836 kB
File too large to display, you can check the raw version instead.