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:
- ccd909a9f95cdb09515fd0b2d4f6987583f84ffef88aaef092f1fbbeabbb8b5a
- Size of remote file:
- 4.54 kB
- SHA256:
- 0ade9d52e81c11df3ded7c0b2ba6e191f585955e2b34074980f57fe216763274
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