🧠
Resnet18 Catdog Classifier model by hilmansw
⭐ 26.4
🧠
Model

Resnet18 Catdog Classifier

by hilmansw hilmansw/resnet18-catdog-classifier
Free2AITools Nexus Index
26.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 10
R: Recency 12
Q: Quality 50
Tech Context
Vital Performance
138 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 26.4 FNI Score
Tiny - Params
- Context
138 Downloads
Dense RESNETFORIMAGECLASSIFICATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hilmansw/resnet18-catdog-classifier
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hilmansw_resnet18_catdog_classifier,
  author = {hilmansw},
  title = {Resnet18 Catdog Classifier Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/hilmansw/resnet18-catdog-classifier}},
  note = {Accessed via Free2AITools.}
}
APA Style
hilmansw. (2023). Resnet18 Catdog Classifier [Model]. Free2AITools. https://huggingface.co/hilmansw/resnet18-catdog-classifier

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download hilmansw/resnet18-catdog-classifier
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) 29
Popularity (P) 10
Recency (R) 12
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Resnet18 Catdog Classifier: Authority (A:29), Popularity (P:10), Recency (R:12), 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
138Downloads
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--hilmansw--resnet18-catdog-classifier
slug
hilmansw--resnet18-catdog-classifier
source
huggingface
author
hilmansw
license
Apache-2.0
tags
transformers, pytorch, resnet, image-classification, generated_from_trainer, en, base_model:microsoft/resnet-18, base_model:finetune:microsoft/resnet-18, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
ResNetForImageClassification
pipeline tag
image-classification

πŸ“Š Engagement & Metrics

downloads
138
stars
0
forks
0

Data indexed from public sources. Updated daily.