🧠
Semantic Vad Eot Whisper Base model by Scicom Intl
⭐ 37.5
🧠
Model

Semantic Vad Eot Whisper Base

by Scicom Intl scicom-intl/semantic-vad-eot-whisper-base
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 98
Q: Quality 50
Tech Context
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID scicom-intl/semantic-vad-eot-whisper-base
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{scicom_intl_semantic_vad_eot_whisper_base,
  author = {Scicom Intl},
  title = {Semantic Vad Eot Whisper Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Scicom-intl/semantic-vad-eot-whisper-base}},
  note = {Accessed via Free2AITools.}
}
APA Style
Scicom Intl. (2026). Semantic Vad Eot Whisper Base [Model]. Free2AITools. https://huggingface.co/Scicom-intl/semantic-vad-eot-whisper-base

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download scicom-intl/semantic-vad-eot-whisper-base
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 98
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Semantic Vad Eot Whisper Base: Authority (A:0), Popularity (P:0), Recency (R:98), 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.
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--scicom-intl--semantic-vad-eot-whisper-base
slug
scicom-intl--semantic-vad-eot-whisper-base
source
huggingface
author
Scicom Intl
license
Apache-2.0
tags
transformers, onnx, safetensors, end-of-turn-detection, turn-detection, semantic-vad, endpointing, voice-agent, livekit, whisper, telephony, audio-classification, ms, en, base_model:openai/whisper-base, base_model:quantized:openai/whisper-base, license:apache-2.0, endpoints_compatible, region:us, dataset:scicom-intl/semantic-vad-eot

βš™οΈ Technical Specs

pipeline tag
audio-classification

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.