Instructions to use dsfsi-anv/whisper-large-v3-turbo-anv-zul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi-anv/whisper-large-v3-turbo-anv-zul with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dsfsi-anv/whisper-large-v3-turbo-anv-zul")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dsfsi-anv/whisper-large-v3-turbo-anv-zul") model = AutoModelForSpeechSeq2Seq.from_pretrained("dsfsi-anv/whisper-large-v3-turbo-anv-zul") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74cceb03efdf09dd10a9f2fd87059d6acad9a46dfd4d678f53800b95d98407c8
- Size of remote file:
- 5.62 kB
- SHA256:
- 1f50ac1e23f7d50d3701144980d12d4bbe2d9ef747e8bd31064cd0a678c0a8b3
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