🧠
Persian Tts Female Vits model by Kamtera
⭐ 38.2
🧠
Model

Persian Tts Female Vits

by Kamtera kamtera/persian-tts-female-vits
Free2AITools Nexus Index
38.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49
P: Popularity 18
R: Recency 7
Q: Quality 50
Tech Context
Vital Performance
384 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 38.2 FNI Score
Tiny - Params
- Context
384 Downloads
Restricted OPENRAIL License
Model Information Summary
Entity Passport
Registry ID kamtera/persian-tts-female-vits
License OpenRAIL
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{kamtera_persian_tts_female_vits,
  author = {Kamtera},
  title = {Persian Tts Female Vits Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/Kamtera/persian-tts-female-vits}},
  note = {Accessed via Free2AITools.}
}
APA Style
Kamtera. (2023). Persian Tts Female Vits [Model]. Free2AITools. https://huggingface.co/Kamtera/persian-tts-female-vits

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download kamtera/persian-tts-female-vits

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 49
Popularity (P) 18
Recency (R) 7
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Persian Tts Female Vits: Authority (A:49), Popularity (P:18), Recency (R:7), 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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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
384Downloads
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--kamtera--persian-tts-female-vits
slug
kamtera--persian-tts-female-vits
source
huggingface
author
Kamtera
license
OpenRAIL
tags
tts, tensorboard, persian, farsi, coqui, coquitts, pytorch, audio, text-to-speech, fa, dataset:persian-tts-dataset, license:openrail, region:us

βš™οΈ Technical Specs

pipeline tag
text-to-speech

πŸ“Š Engagement & Metrics

downloads
384

Data indexed from public sources. Updated daily.