Instructions to use arthoho66/model_005_2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arthoho66/model_005_2000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arthoho66/model_005_2000")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arthoho66/model_005_2000") model = AutoModelForSpeechSeq2Seq.from_pretrained("arthoho66/model_005_2000") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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"tokenizer_class": "WhisperTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"tokenizer_class": "WhisperTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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