Instructions to use emonidi/whisper-tiny-order with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emonidi/whisper-tiny-order with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emonidi/whisper-tiny-order")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("emonidi/whisper-tiny-order") model = AutoModelForSpeechSeq2Seq.from_pretrained("emonidi/whisper-tiny-order") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files
README.md
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license: apache-2.0
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base_model: nandovallec/whisper-tiny-bg-l
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-tiny-order
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results: []
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- wer
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base_model: nandovallec/whisper-tiny-bg-l
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model-index:
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- name: whisper-tiny-order
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results: []
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