18 days ago
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Model card: point casual users to the sherpa-onnx ONNX version (callout at the top)
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Model card: ONNX version now uses sherpa-onnx; updated speed comparison
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Model card: beam vs greedy guidance (accuracy, CPU/GPU timing, when to use which)
19 days ago
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Model card: add 'Using the model in PyTorch' (imports, checkpoint format, tensor shapes)
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Remove vendored icefall code (install icefall at the pinned commit instead)
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Loader uses the user's own icefall checkout (ICEFALL_ROOT); card lists the packages to install
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Model card: remove private-repo note
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Model card: cleaner layout (summary table, shorter tables, collapsible details)
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Model card: how it was trained (code version, settings) and references (papers, code, datasets)
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Add license: weights CC BY-SA 4.0, loader code Apache-2.0 (+ vendored icefall Apache-2.0); data license table
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Add from_pretrained loader (asr.py) with vendored icefall code; model card with dev+test metrics, datasets and data stats
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Bangla Zipformer transducer (pt), average of epochs 23-25
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initial commit
