Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Croatian
whisper
Generated from Trainer
Instructions to use GoranS/whisper-large-v3-turbo-hr-parla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GoranS/whisper-large-v3-turbo-hr-parla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GoranS/whisper-large-v3-turbo-hr-parla")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GoranS/whisper-large-v3-turbo-hr-parla") model = AutoModelForSpeechSeq2Seq.from_pretrained("GoranS/whisper-large-v3-turbo-hr-parla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbb8459ded2e7edbf90bde1a59441e654d39100be202d012df2081376449b567
- Size of remote file:
- 3.24 GB
- SHA256:
- 1fc519ad72278d625746a651939e43db3e98b54ef10a8370cec71461b1f0206c
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