🧠
Convnext Tiny.in12k Ft In1k Finetuned Eurosat model by Taozhiyaoyao1
⭐ 39
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Model

Convnext Tiny.in12k Ft In1k Finetuned Eurosat

by Taozhiyaoyao1 hf-model--taozhiyaoyao1--convnext_tiny.in12k_ft_in1k-finetuned-eurosat
Nexus Index
39.0 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
12.288K Ctx
Vital Performance
110 DL / 30D
0.0%
Source →
Audited 39 FNI Score
Tiny - Params
12k Context
110 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--taozhiyaoyao1--convnext_tiny.in12k_ft_in1k-finetuned-eurosat
License Apache-2.0
Provider huggingface
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Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__taozhiyaoyao1__convnext_tiny.in12k_ft_in1k_finetuned_eurosat,
  author = {Taozhiyaoyao1},
  title = {Convnext Tiny.in12k Ft In1k Finetuned Eurosat Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/taozhiyaoyao1/convnext_tiny.in12k_ft_in1k-finetuned-eurosat}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Taozhiyaoyao1. (2026). Convnext Tiny.in12k Ft In1k Finetuned Eurosat [Model]. Free2AITools. https://huggingface.co/taozhiyaoyao1/convnext_tiny.in12k_ft_in1k-finetuned-eurosat

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download taozhiyaoyao1/convnext_tiny.in12k_ft_in1k-finetuned-eurosat
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
39.0
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Convnext Tiny.in12k Ft In1k Finetuned Eurosat: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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⚠ī¸ Incomplete Data

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📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
110Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--taozhiyaoyao1--convnext_tiny.in12k_ft_in1k-finetuned-eurosat
slug
taozhiyaoyao1--convnext_tiny.in12k_ft_in1k-finetuned-eurosat
source
huggingface
author
Taozhiyaoyao1
license
Apache-2.0
tags
transformers, safetensors, timm_wrapper, image-classification, timm, generated_from_trainer, base_model:timm/convnext_tiny.in12k_ft_in1k, license:apache-2.0, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
12,288
pipeline tag
image-classification

📊 Engagement & Metrics

downloads
110
stars
0
forks
0

Data indexed from public sources. Updated daily.