🧠
Model

Whisper Large V3 Turbo Gaelic Ct2 V2

by Eist Edinburgh eist-edinburgh/whisper-large-v3-turbo-gaelic-ct2-v2
Free2AITools Nexus Index
35.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 5
R: Recency 62
Q: Quality 50
Tech Context
Vital Performance
47 DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 35.6 FNI Score
Tiny - Params
- Context
47 Downloads
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID eist-edinburgh/whisper-large-v3-turbo-gaelic-ct2-v2
License Other
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{eist_edinburgh_whisper_large_v3_turbo_gaelic_ct2_v2,
  author = {Eist Edinburgh},
  title = {Whisper Large V3 Turbo Gaelic Ct2 V2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/eist-edinburgh/whisper-large-v3-turbo-gaelic-ct2-v2}},
  note = {Accessed via Free2AITools.}
}
APA Style
Eist Edinburgh. (2026). Whisper Large V3 Turbo Gaelic Ct2 V2 [Model]. Free2AITools. https://huggingface.co/eist-edinburgh/whisper-large-v3-turbo-gaelic-ct2-v2

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download eist-edinburgh/whisper-large-v3-turbo-gaelic-ct2-v2

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 5
Recency (R) 62
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Whisper Large V3 Turbo Gaelic Ct2 V2: Authority (A:39), Popularity (P:5), Recency (R:62), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

Technical Deep Dive

⚠️ 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
47Downloads
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--eist-edinburgh--whisper-large-v3-turbo-gaelic-ct2-v2
slug
eist-edinburgh--whisper-large-v3-turbo-gaelic-ct2-v2
source
huggingface
author
Eist Edinburgh
license
Other
tags
ctranslate2, audio, automatic-speech-recognition, gd, base_model:openai/whisper-large-v3-turbo, base_model:finetune:openai/whisper-large-v3-turbo, license:other, region:us

βš™οΈ Technical Specs

pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
47
stars
0
forks
0

Data indexed from public sources. Updated daily.