🧠
Wav2vec2 Base Gender Classification 60000 Wn 3 model by yunjung
⭐ 24.5
🧠
Model

Wav2vec2 Base Gender Classification 60000 Wn 3

by yunjung hf-model--yunjung--wav2vec2-base-gender_classification_60000_wn_3
Nexus Index
24.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 1
R: Recency 12
Q: Quality 50
Tech Context
2 Params
4.096K Ctx
Vital Performance
5 DL / 30D
0.0%
Source →
Audited 24.5 FNI Score
Tiny 2B Params
4k Context
5 Downloads
8G GPU ~3GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID hf-model--yunjung--wav2vec2-base-gender_classification_60000_wn_3
Provider huggingface
💾

Compute Threshold

~2.8GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__yunjung__wav2vec2_base_gender_classification_60000_wn_3,
  author = {yunjung},
  title = {Wav2vec2 Base Gender Classification 60000 Wn 3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/yunjung/wav2vec2-base-gender_classification_60000_wn_3}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
yunjung. (2026). Wav2vec2 Base Gender Classification 60000 Wn 3 [Model]. Free2AITools. https://huggingface.co/yunjung/wav2vec2-base-gender_classification_60000_wn_3

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run wav2vec2-base-gender_classification_60000_wn_3
🤗 HF Download
huggingface-cli download yunjung/wav2vec2-base-gender_classification_60000_wn_3
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
24.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 1
Recency (R) 12
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Wav2vec2 Base Gender Classification 60000 Wn 3: Semantic (S:50), Authority (A:0), Popularity (P:1), Recency (R:12), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
5Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--yunjung--wav2vec2-base-gender_classification_60000_wn_3
slug
yunjung--wav2vec2-base-gender_classification_60000_wn_3
source
huggingface
author
yunjung
license
tags
transformers, pytorch, wav2vec2, audio-classification, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
2
context length
4,096
pipeline tag
audio-classification
vram gb
2.8
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
5
stars
0
forks
0

Data indexed from public sources. Updated daily.