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:
- 227bdcdea88609acc86186c19a78ea0e4dfc47d59dcc355890e95a86eeeddc9f
- Size of remote file:
- 34.8 kB
- SHA256:
- d23e9e7236d446ec64381c64dd5f7fee871dfa5028aac1753c20bc2c9305e519
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