Instructions to use GautamR/whisper-tiny-hi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GautamR/whisper-tiny-hi2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GautamR/whisper-tiny-hi2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GautamR/whisper-tiny-hi2") model = AutoModelForSpeechSeq2Seq.from_pretrained("GautamR/whisper-tiny-hi2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
config.json
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"_name_or_path": "./whisper-tiny-hi-checkpoint-
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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{
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"_name_or_path": "./whisper-tiny-hi-checkpoint-5",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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runs/May25_10-57-46_bharatsahaiyak-test/events.out.tfevents.1716634667.bharatsahaiyak-test.2571829.29
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runs/May25_10-57-46_bharatsahaiyak-test/events.out.tfevents.1716635210.bharatsahaiyak-test.2571829.30
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training_args.bin
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