Instructions to use zeon8985army/Lukas-AllIndonesianLargeV2-id-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeon8985army/Lukas-AllIndonesianLargeV2-id-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zeon8985army/Lukas-AllIndonesianLargeV2-id-full")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("zeon8985army/Lukas-AllIndonesianLargeV2-id-full") model = AutoModelForMultimodalLM.from_pretrained("zeon8985army/Lukas-AllIndonesianLargeV2-id-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa0caf631731e17231e6ff33fc7bb104d0d2a43de09e99b9c9341c7b001b9970
- Size of remote file:
- 4.99 GB
- SHA256:
- 698911fceb480417f6961ca6bc6d77c8e295e4b11afcfa83f425c7d437aac061
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