🧠
opla model by ciscoriordan
⭐ 36.8
🧠
Model

opla

by ciscoriordan hf-model--ciscoriordan--opla
Nexus Index
36.8 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 95
Q: Quality 50
Tech Context
Vital Performance
0 DL / 30D
0.0%
Source →
Audited 36.8 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID hf-model--ciscoriordan--opla
License MIT
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__ciscoriordan__opla,
  author = {ciscoriordan},
  title = {opla Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ciscoriordan/opla}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ciscoriordan. (2026). opla [Model]. Free2AITools. https://huggingface.co/ciscoriordan/opla

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download ciscoriordan/opla
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
36.8
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 95
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for opla: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:95), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

Opla - Greek POS Tagger and Dependency Parser

GPU-optimized Greek POS tagger and dependency parser. 215x faster than gr-nlp-toolkit on real-world Greek text, with identical POS output and near-identical dependency parsing.

Supports Modern Greek (el), Ancient Greek (grc), and Medieval Greek (med).

Source code: github.com/ciscoriordan/opla

Weights

File Language Size Description
weights/grc/opla_grc.pt Ancient Greek 632 MB PyTorch checkpoint (joint POS+DP on Ancient-Greek-BERT)
weights/grc/onnx/opla_joint.onnx Ancient Greek 535 MB ONNX model for CPU deployment (with .data and meta.json)
weights/med/opla_med.pt Medieval Greek ~632 MB PyTorch checkpoint (joint POS+DP on Ancient-Greek-BERT)

Modern Greek weights are loaded directly from AUEB-NLP/gr-nlp-toolkit.

Ancient Greek accuracy

Dev set accuracy on combined Perseus + PROIEL + Gorman treebanks (1.1M tokens):

Metric Accuracy
UPOS 96.8%
DEPREL 91.8%

Training data:

Usage

Architecture

The grc and med models use a single Ancient-Greek-BERT backbone with jointly trained POS and DP heads, requiring only one BERT forward pass per batch. The el model uses dual GreekBERT backbones (inherited from gr-nlp-toolkit).

ONNX inference

The ONNX model provides CPU-only deployment without requiring PyTorch. Install onnxruntime and pass checkpoint="onnx" to Opla().

Citation

License

MIT

⚠ī¸ 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 →

📝 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.
🤗 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--ciscoriordan--opla
slug
ciscoriordan--opla
source
huggingface
author
ciscoriordan
license
MIT
tags
transformers, onnx, pos-tagging, dependency-parsing, ancient-greek, greek, nlp, token-classification, grc, el, license:mit, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
token-classification

📊 Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.