🧠
French Toxicity Classifier Plus V2 model by EIStakovskii
⭐ 32.1
🧠
Model

French Toxicity Classifier Plus V2

by EIStakovskii eistakovskii/french_toxicity_classifier_plus_v2
Free2AITools Nexus Index
32.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 47
R: Recency 8
Q: Quality 65
Tech Context
0.11B Params
4.096K Ctx
Vital Performance
16.6K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 32.1 FNI Score
Tiny 0.11B Params
4k Context
16.6K Downloads
8G GPU ~2GB Est. VRAM
Dense CAMEMBERTFORSEQUENCECLASSIFICATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID eistakovskii/french_toxicity_classifier_plus_v2
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eistakovskii_french_toxicity_classifier_plus_v2,
  author = {EIStakovskii},
  title = {French Toxicity Classifier Plus V2 Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/EIStakovskii/french_toxicity_classifier_plus_v2}},
  note = {Accessed via Free2AITools.}
}
APA Style
EIStakovskii. (2022). French Toxicity Classifier Plus V2 [Model]. Free2AITools. https://huggingface.co/EIStakovskii/french_toxicity_classifier_plus_v2

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run french_toxicity_classifier_plus_v2
πŸ€— HF Download
huggingface-cli download eistakovskii/french_toxicity_classifier_plus_v2
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) 39
Popularity (P) 47
Recency (R) 8
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for French Toxicity Classifier Plus V2: Authority (A:39), Popularity (P:47), Recency (R:8), Quality (Q:65). 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.

Social Proof

HuggingFace Hub
16.6KDownloads
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--eistakovskii--french_toxicity_classifier_plus_v2
slug
eistakovskii--french_toxicity_classifier_plus_v2
source
huggingface
author
EIStakovskii
license
Other
tags
transformers, pytorch, safetensors, camembert, text-classification, fr, license:other, text-embeddings-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
CamembertForSequenceClassification
params billions
0.11
context length
4,096
pipeline tag
text-classification
vram gb
1.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
16,570
stars
0
forks
0

Data indexed from public sources. Updated daily.