Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
multilingual
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use edutjie/bisix-su-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edutjie/bisix-su-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="edutjie/bisix-su-id")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("edutjie/bisix-su-id") model = AutoModelForSpeechSeq2Seq.from_pretrained("edutjie/bisix-su-id") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06f7a64a071cd535ea76151949e6059310f163eae9a0330e1bb49052bdc3b8e3
- Size of remote file:
- 5.5 kB
- SHA256:
- 484b0ebfbe4271b9079ccc884df244d6d21d79b1e43b8b5ef0986bc546263ff5
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