shun3232/mms1b-lid-sigmoid-fleurs-csfleurs

audio-classification model by shun3232

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Model card & documentation

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ESPnet FLEURS-CS LID, explicitly selected epoch (30epoch.pth). This is not a claim of best-checkpoint performance. License: CC-BY-NC-4.0 (including the MMS-1B backbone where used). No evaluation metrics are asserted. See provenance.json for hashes. No optimizer state, audio or real utterance IDs. Use matching ESPnet CS-LID code (canonical PIT keys); MMS inference still requires its backbone/cache. The config retains training settings, including optimizer/scheduler hyperparameters, but no optimizer/scheduler state is uploaded. Historical training data, initialization and output paths are provenance, not bundled assets; relocate them before training on another server. Language inventory and…

shun3232/mms1b-lid-sigmoid-fleurs-csfleurs on Hugging Face A short preview, not the full document.

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  1. mms1b-lid-sigmoid-fleurs-csfleurs
  2. Architecture

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Model overview

shun3232/mms1b-lid-sigmoid-fleurs-csfleurs is a audio-classification model repository published by shun3232 on Hugging Face. The source reports the espnet library.

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Model facts

Task
audio-classification
Library
espnet
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
cc-by-nc-4.0
Access
Not gated by Hugging Face
Created
2026-09-17T05:56:37.000Z
Last modified
2026-09-17T05:58:30.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: facebook/mms-1b

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-17T06:34:58.770Z. Daily imports are snapshots, not real-time monitoring.

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shun3232/mms1b-lid-sigmoid-fleurs