Instructions to use FL33TW00D-HF/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FL33TW00D-HF/whisper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FL33TW00D-HF/whisper-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("FL33TW00D-HF/whisper-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("FL33TW00D-HF/whisper-base") - Notebooks
- Google Colab
- Kaggle
Model Card for Ratchet + Whisper Base
This is a conversion from the GGML format of openai/whisper-base into the Ratchet custom format.
Model Card Contact
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