🧠
Mobilevit Small 10k Steps model by Efferbach
⭐ 24.2
🧠
Model

Mobilevit Small 10k Steps

by Efferbach efferbach/mobilevit-small-10k-steps
Free2AITools Nexus Index
24.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 8
Q: Quality 50
Tech Context
10.24K Ctx
Vital Performance
16 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 24.2 FNI Score
Tiny - Params
10k Context
16 Downloads
Dense MOBILEVITFORSEMANTICSEGMENTATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID efferbach/mobilevit-small-10k-steps
License Other
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{efferbach_mobilevit_small_10k_steps,
  author = {Efferbach},
  title = {Mobilevit Small 10k Steps Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/Efferbach/mobilevit-small-10k-steps}},
  note = {Accessed via Free2AITools.}
}
APA Style
Efferbach. (2023). Mobilevit Small 10k Steps [Model]. Free2AITools. https://huggingface.co/Efferbach/mobilevit-small-10k-steps

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download efferbach/mobilevit-small-10k-steps
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) 2
Recency (R) 8
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Mobilevit Small 10k Steps: Authority (A:0), Popularity (P:2), Recency (R:8), 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
16Downloads
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--efferbach--mobilevit-small-10k-steps
slug
efferbach--mobilevit-small-10k-steps
source
huggingface
author
Efferbach
license
Other
tags
transformers, pytorch, tensorboard, mobilevit, image-segmentation, vision, generated_from_trainer, license:other, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
MobileViTForSemanticSegmentation
context length
10,240
pipeline tag
image-segmentation

πŸ“Š Engagement & Metrics

downloads
16
stars
0
forks
0

Data indexed from public sources. Updated daily.