Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Divehi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ccibeekeoc42/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccibeekeoc42/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ccibeekeoc42/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ccibeekeoc42/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("ccibeekeoc42/whisper-small-dv") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
config.json
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"transformers_version": "4.
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"use_cache": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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"transformers_version": "4.42.4",
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"use_cache": false,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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model.safetensors
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runs/Jul15_20-48-23_e7bc75bb78f3/events.out.tfevents.1721076507.e7bc75bb78f3.299.0
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training_args.bin
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