🧠
Wav2vec2 Large Xlsr Coraa Portuguese model by Edresson
⭐ 24.1
🧠
Model

Wav2vec2 Large Xlsr Coraa Portuguese

by Edresson edresson/wav2vec2-large-xlsr-coraa-portuguese
Free2AITools Nexus Index
24.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 47
P: Popularity 35
R: Recency 4
Q: Quality 50
Tech Context
Vital Performance
3.1K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 24.1 FNI Score
Tiny - Params
- Context
3.1K Downloads
Dense WAV2VEC2FORCTC Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID edresson/wav2vec2-large-xlsr-coraa-portuguese
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{edresson_wav2vec2_large_xlsr_coraa_portuguese,
  author = {Edresson},
  title = {Wav2vec2 Large Xlsr Coraa Portuguese Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/Edresson/wav2vec2-large-xlsr-coraa-portuguese}},
  note = {Accessed via Free2AITools.}
}
APA Style
Edresson. (2022). Wav2vec2 Large Xlsr Coraa Portuguese [Model]. Free2AITools. https://huggingface.co/Edresson/wav2vec2-large-xlsr-coraa-portuguese

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download edresson/wav2vec2-large-xlsr-coraa-portuguese
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 47
Popularity (P) 35
Recency (R) 4
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Wav2vec2 Large Xlsr Coraa Portuguese: Authority (A:47), Popularity (P:35), Recency (R:4), 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.

Social Proof

HuggingFace Hub
3.1KDownloads
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--edresson--wav2vec2-large-xlsr-coraa-portuguese
slug
edresson--wav2vec2-large-xlsr-coraa-portuguese
source
huggingface
author
Edresson
license
Apache-2.0
tags
transformers, pytorch, wav2vec2, automatic-speech-recognition, audio, speech, pt, portuguese-speech-corpus, hf-asr-leaderboard, dataset:coraa, arxiv:2110.15731, license:apache-2.0, model-index, endpoints_compatible, deploy:azure, region:us

βš™οΈ Technical Specs

architecture
Wav2Vec2ForCTC
pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
3,128
stars
0
forks
0

Data indexed from public sources. Updated daily.