Instructions to use RodrigoLimaRFL/distil-large-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RodrigoLimaRFL/distil-large-dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RodrigoLimaRFL/distil-large-dev")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("RodrigoLimaRFL/distil-large-dev") model = AutoModelForSpeechSeq2Seq.from_pretrained("RodrigoLimaRFL/distil-large-dev") - Notebooks
- Google Colab
- Kaggle
Saving final weights of step 5000
Browse files
config.json
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"_name_or_path": "
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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": "./distil-large-v3-init",
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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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distil-whisper/events.out.tfevents.1715859762.21aa26a8a34c.520.0
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model.safetensors
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size 3025686376
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