Instructions to use Mojtabazarrin/whisper-tiny-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mojtabazarrin/whisper-tiny-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mojtabazarrin/whisper-tiny-fa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mojtabazarrin/whisper-tiny-fa") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mojtabazarrin/whisper-tiny-fa") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 0737fda
Upload WhisperForConditionalGeneration
Browse files- generation_config.json +1 -1
- pytorch_model.bin +2 -2
generation_config.json
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"pad_token_id": 50257,
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"return_timestamps": false,
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"suppress_tokens": [],
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"transformers_version": "4.
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}
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"pad_token_id": 50257,
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"transformers_version": "4.34.0"
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pytorch_model.bin
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size 151096745
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