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:
- ddb79c41d2c0b6a2bd1b5d43e9258c4a7e73c85a37655415a1763ca5d5e0a138
- Size of remote file:
- 1.18 GB
- SHA256:
- dc88e816814154ad4d6b014c13fa94548f962ef25da3f4637655fe14b2b51737
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.