🧠
Whisper Large V3 model by Xenova
⭐ 37.3
🧠
Model

Whisper Large V3

by Xenova hf-model--xenova--whisper-large-v3
Nexus Index
37.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 22
R: Recency 77
Q: Quality 50
Tech Context
Vital Performance
661 DL / 30D
0.0%
Source →
Audited 37.3 FNI Score
Tiny - Params
- Context
661 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--xenova--whisper-large-v3
License Apache-2.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__xenova__whisper_large_v3,
  author = {Xenova},
  title = {Whisper Large V3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/xenova/whisper-large-v3}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Xenova. (2026). Whisper Large V3 [Model]. Free2AITools. https://huggingface.co/xenova/whisper-large-v3

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download xenova/whisper-large-v3
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
37.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 22
Recency (R) 77
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Whisper Large V3: Semantic (S:50), Authority (A:0), Popularity (P:22), Recency (R:77), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

https://huggingface.co/openai/whisper-large-v3 with ONNX weights to be compatible with Transformers.js.

Usage (Transformers.js)

If you haven't already, you can install the Transformers.js JavaScript library from NPM using:

bash 
npm i @huggingface/transformers

Example: Transcribe audio from a URL.

js 
import { pipeline } from '@huggingface/transformers';
const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-large-v3');
const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
const output = await transcriber(url);

Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).

⚠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
661Downloads
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--xenova--whisper-large-v3
slug
xenova--whisper-large-v3
source
huggingface
author
Xenova
license
Apache-2.0
tags
transformers.js, onnx, whisper, automatic-speech-recognition, base_model:openai/whisper-large-v3, base_model:quantized:openai/whisper-large-v3, license:apache-2.0, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
automatic-speech-recognition

📊 Engagement & Metrics

downloads
661
stars
0
forks
0

Data indexed from public sources. Updated daily.