Instructions to use TheAIchemist13/whisper-hindi-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheAIchemist13/whisper-hindi-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheAIchemist13/whisper-hindi-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheAIchemist13/whisper-hindi-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheAIchemist13/whisper-hindi-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 4aab4e6
Upload processor
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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"normalized":
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"special": true
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"single_word": false,
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"special": true
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