Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Telugu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use kattojuprashanth238/whisper-small-te-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kattojuprashanth238/whisper-small-te-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kattojuprashanth238/whisper-small-te-v5")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kattojuprashanth238/whisper-small-te-v5") model = AutoModelForSpeechSeq2Seq.from_pretrained("kattojuprashanth238/whisper-small-te-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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library_name: transformers
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language:
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- te
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base_model: openai/whisper-small-
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tags:
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- generated_from_trainer
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datasets:
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library_name: transformers
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language:
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- te
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base_model: openai/whisper-small-te-v3
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tags:
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- generated_from_trainer
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datasets:
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