Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Croatian
whisper
Generated from Trainer
Instructions to use 5roop/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5roop/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="5roop/output")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("5roop/output") model = AutoModelForSpeechSeq2Seq.from_pretrained("5roop/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f493ea0aba4f4b02bfe8a35e4f15637ebd8fa63f6c58c45b8c276648e4fd826e
- Size of remote file:
- 5.6 kB
- SHA256:
- d12f11b5106c2f1788f6480a60cc9e8487a29276afe984d5615fbe6c7fef67f6
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