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Xlm Roberta Large French Legislative Cap V3 model by poltextlab
⭐ 40.6
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Model

Xlm Roberta Large French Legislative Cap V3

by poltextlab poltextlab/xlm-roberta-large-french-legislative-cap-v3
Free2AITools Nexus Index
40.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 28
R: Recency 87
Q: Quality 50
Tech Context
Vital Performance
1.3K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 40.6 FNI Score
Tiny - Params
- Context
1.3K Downloads
Dense XLMROBERTAFORSEQUENCECLASSIFICATION Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID poltextlab/xlm-roberta-large-french-legislative-cap-v3
License CC-BY-4.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{poltextlab_xlm_roberta_large_french_legislative_cap_v3,
  author = {poltextlab},
  title = {Xlm Roberta Large French Legislative Cap V3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/poltextlab/xlm-roberta-large-french-legislative-cap-v3}},
  note = {Accessed via Free2AITools.}
}
APA Style
poltextlab. (2026). Xlm Roberta Large French Legislative Cap V3 [Model]. Free2AITools. https://huggingface.co/poltextlab/xlm-roberta-large-french-legislative-cap-v3

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download poltextlab/xlm-roberta-large-french-legislative-cap-v3
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) 28
Recency (R) 87
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Xlm Roberta Large French Legislative Cap V3: Authority (A:0), Popularity (P:28), Recency (R:87), 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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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
1.3KDownloads
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--poltextlab--xlm-roberta-large-french-legislative-cap-v3
slug
poltextlab--xlm-roberta-large-french-legislative-cap-v3
source
huggingface
author
poltextlab
license
CC-BY-4.0
tags
transformers, pytorch, xlm-roberta, text-classification, fr, license:cc-by-4.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
XLMRobertaForSequenceClassification
params billions
null
context length
null
pipeline tag
text-classification

πŸ“Š Engagement & Metrics

downloads
1,315
stars
0
forks
0

Data indexed from public sources. Updated daily.