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:
- a1b5d727c4b8a129fbbe40eef86627fcaec7117175cdf67a4db3c48d71c5918c
- Size of remote file:
- 4.99 GB
- SHA256:
- aa7eb0c118a689d20d7ff1a8b63608d2c457eef002a349a810168bfe47cf5b07
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