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
File size: 129 Bytes
55c0647 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1f50ac1e23f7d50d3701144980d12d4bbe2d9ef747e8bd31064cd0a678c0a8b3
size 5624
|