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Convnext Base 224 22k 1k Orig Cats Vs Dogs model by efederici
⭐ 23.3
🧠
Model

Convnext Base 224 22k 1k Orig Cats Vs Dogs

by efederici efederici/convnext-base-224-22k-1k-orig-cats-vs-dogs
Free2AITools Nexus Index
23.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 9
R: Recency 5
Q: Quality 50
Tech Context
22.528K Ctx
Vital Performance
114 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 23.3 FNI Score
Tiny - Params
22k Context
114 Downloads
Dense CONVNEXTFORIMAGECLASSIFICATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID efederici/convnext-base-224-22k-1k-orig-cats-vs-dogs
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{efederici_convnext_base_224_22k_1k_orig_cats_vs_dogs,
  author = {efederici},
  title = {Convnext Base 224 22k 1k Orig Cats Vs Dogs Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/efederici/convnext-base-224-22k-1k-orig-cats-vs-dogs}},
  note = {Accessed via Free2AITools.}
}
APA Style
efederici. (2022). Convnext Base 224 22k 1k Orig Cats Vs Dogs [Model]. Free2AITools. https://huggingface.co/efederici/convnext-base-224-22k-1k-orig-cats-vs-dogs

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download efederici/convnext-base-224-22k-1k-orig-cats-vs-dogs
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) 0
Popularity (P) 9
Recency (R) 5
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Convnext Base 224 22k 1k Orig Cats Vs Dogs: Authority (A:0), Popularity (P:9), Recency (R:5), 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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⚠️ 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
114Downloads
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--efederici--convnext-base-224-22k-1k-orig-cats-vs-dogs
slug
efederici--convnext-base-224-22k-1k-orig-cats-vs-dogs
source
huggingface
author
efederici
license
Apache-2.0
tags
transformers, pytorch, tensorboard, convnext, image-classification, vision, dataset:cats_vs_dogs, arxiv:2201.03545, license:apache-2.0, model-index, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
ConvNextForImageClassification
context length
22,528
pipeline tag
image-classification

πŸ“Š Engagement & Metrics

downloads
114

Data indexed from public sources. Updated daily.