🧠
Model

Wav2vec2 Large Xlsr 53 Levantine Arabic

by elgeish elgeish/wav2vec2-large-xlsr-53-levantine-arabic
Free2AITools Nexus Index
25.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 42
P: Popularity 11
R: Recency 2
Q: Quality 50
Tech Context
Vital Performance
153 DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 25.6 FNI Score
Tiny - Params
- Context
153 Downloads
Dense WAV2VEC2FORCTC Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID elgeish/wav2vec2-large-xlsr-53-levantine-arabic
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{elgeish_wav2vec2_large_xlsr_53_levantine_arabic,
  author = {elgeish},
  title = {Wav2vec2 Large Xlsr 53 Levantine Arabic Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/elgeish/wav2vec2-large-xlsr-53-levantine-arabic}},
  note = {Accessed via Free2AITools.}
}
APA Style
elgeish. (2022). Wav2vec2 Large Xlsr 53 Levantine Arabic [Model]. Free2AITools. https://huggingface.co/elgeish/wav2vec2-large-xlsr-53-levantine-arabic

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download elgeish/wav2vec2-large-xlsr-53-levantine-arabic
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 42
Popularity (P) 11
Recency (R) 2
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Wav2vec2 Large Xlsr 53 Levantine Arabic: Authority (A:42), Popularity (P:11), Recency (R:2), 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
153Downloads
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--elgeish--wav2vec2-large-xlsr-53-levantine-arabic
slug
elgeish--wav2vec2-large-xlsr-53-levantine-arabic
source
huggingface
author
elgeish
license
Apache-2.0
tags
transformers, pytorch, jax, wav2vec2, automatic-speech-recognition, audio, speech, ar, dataset:arabic_speech_corpus, license:apache-2.0, endpoints_compatible, deploy:azure, region:us

βš™οΈ Technical Specs

architecture
Wav2Vec2ForCTC
pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
153
stars
0
forks
0

Data indexed from public sources. Updated daily.