🧠
Omni Asr Coreml Fp16 model by aoiandroid
⭐ 37.2
🧠
Model

Omni Asr Coreml Fp16

by aoiandroid aoiandroid/omni-asr-coreml-fp16
Free2AITools Nexus Index
37.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 76
Q: Quality 50
Tech Context
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.2 FNI Score
Tiny - Params
- Context
0 Downloads
Restricted CC License
Model Information Summary
Entity Passport
Registry ID aoiandroid/omni-asr-coreml-fp16
License CC-BY-NC-4.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{aoiandroid_omni_asr_coreml_fp16,
  author = {aoiandroid},
  title = {Omni Asr Coreml Fp16 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/aoiandroid/omni-asr-coreml-fp16}},
  note = {Accessed via Free2AITools.}
}
APA Style
aoiandroid. (2026). Omni Asr Coreml Fp16 [Model]. Free2AITools. https://huggingface.co/aoiandroid/omni-asr-coreml-fp16

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download aoiandroid/omni-asr-coreml-fp16

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) 76
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Omni Asr Coreml Fp16: Authority (A:0), Popularity (P:0), Recency (R:76), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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.
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--aoiandroid--omni-asr-coreml-fp16
slug
aoiandroid--omni-asr-coreml-fp16
source
huggingface
author
aoiandroid
license
CC-BY-NC-4.0
tags
coremltools, coreml, asr, speech-recognition, wav2vec2, ctc, ios, on-device, apple-neural-engine, fp16, automatic-speech-recognition, multilingual, arxiv:2305.13516, license:cc-by-nc-4.0, region:us

βš™οΈ Technical Specs

pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.