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:
- 68c40289223872536b1452e3efb26e880375b1bc0c9c12392fa9fa7f16b4c35f
- Size of remote file:
- 5.6 kB
- SHA256:
- aa6822742b01e0b39f52fb9ede596a5539b49d83d6334cd1efaea3e3ef73b1df
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