🧠
Mubsir Vl Arabic Htr Adapter model by Hatim2221
⭐ 37.5
🧠
Model

Mubsir Vl Arabic Htr Adapter

by Hatim2221 hatim2221/mubsir-vl-arabic-htr-adapter
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 97
Q: Quality 50
Tech Context
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hatim2221/mubsir-vl-arabic-htr-adapter
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hatim2221_mubsir_vl_arabic_htr_adapter,
  author = {Hatim2221},
  title = {Mubsir Vl Arabic Htr Adapter Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Hatim2221/Mubsir-vl-arabic-htr-adapter}},
  note = {Accessed via Free2AITools.}
}
APA Style
Hatim2221. (2026). Mubsir Vl Arabic Htr Adapter [Model]. Free2AITools. https://huggingface.co/Hatim2221/Mubsir-vl-arabic-htr-adapter

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download hatim2221/mubsir-vl-arabic-htr-adapter
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) 0
Recency (R) 97
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Mubsir Vl Arabic Htr Adapter: Authority (A:0), Popularity (P:0), Recency (R:97), 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.
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--hatim2221--mubsir-vl-arabic-htr-adapter
slug
hatim2221--mubsir-vl-arabic-htr-adapter
source
huggingface
author
Hatim2221
license
Apache-2.0
tags
transformers, safetensors, ocr, htr, arabic, vision-language-model, qwen2-vl, image-to-text, ar, dataset:johnlockejrr/khatt_v1.0_dataset, base_model:qwen/qwen2-vl-2b-instruct, base_model:finetune:qwen/qwen2-vl-2b-instruct, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

pipeline tag
image-to-text

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.