🧠
Stt Kr Conformer Transducer Large model by eesungkim
⭐ 24.1
🧠
Model

Stt Kr Conformer Transducer Large

by eesungkim eesungkim/stt_kr_conformer_transducer_large
Free2AITools Nexus Index
24.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 45
P: Popularity 10
R: Recency 5
Q: Quality 50
Tech Context
Vital Performance
129 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 24.1 FNI Score
Tiny - Params
- Context
129 Downloads
Restricted CC License
Model Information Summary
Entity Passport
Registry ID eesungkim/stt_kr_conformer_transducer_large
License CC-BY-4.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eesungkim_stt_kr_conformer_transducer_large,
  author = {eesungkim},
  title = {Stt Kr Conformer Transducer Large Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/eesungkim/stt_kr_conformer_transducer_large}},
  note = {Accessed via Free2AITools.}
}
APA Style
eesungkim. (2022). Stt Kr Conformer Transducer Large [Model]. Free2AITools. https://huggingface.co/eesungkim/stt_kr_conformer_transducer_large

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download eesungkim/stt_kr_conformer_transducer_large

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 45
Popularity (P) 10
Recency (R) 5
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Stt Kr Conformer Transducer Large: Authority (A:45), Popularity (P:10), Recency (R:5), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
129Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--eesungkim--stt_kr_conformer_transducer_large
slug
eesungkim--stt_kr_conformer_transducer_large
source
huggingface
author
eesungkim
license
CC-BY-4.0
tags
nemo, automatic-speech-recognition, speech, audio, transducer, conformer, transformer, pytorch, kr, dataset:ksponspeech, arxiv:2005.08100, license:cc-by-4.0, region:us

βš™οΈ Technical Specs

pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
129
stars
0
forks
0

Data indexed from public sources. Updated daily.