Instructions to use jacktol/whisper-large-v3-finetuned-for-ATC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacktol/whisper-large-v3-finetuned-for-ATC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jacktol/whisper-large-v3-finetuned-for-ATC")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("jacktol/whisper-large-v3-finetuned-for-ATC") model = AutoModelForMultimodalLM.from_pretrained("jacktol/whisper-large-v3-finetuned-for-ATC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 431dd13a0000b1211823fd6e6d397a2f683f15c0ea1b287e9f7a493e7b75d14f
- Size of remote file:
- 1.18 GB
- SHA256:
- 341c270b5cd093c637f685afc8977f117fac478f3b6b0d7a84c4d4a271ee45bc
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