🧠
Xlm Roberta Large Ehri Ner All model by Ehri Ner
⭐ 26.7
🧠
Model

Xlm Roberta Large Ehri Ner All

by Ehri Ner ehri-ner/xlm-roberta-large-ehri-ner-all
Free2AITools Nexus Index
26.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 1
R: Recency 18
Q: Quality 65
Tech Context
0.56B Params
4.096K Ctx
Vital Performance
11 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 26.7 FNI Score
Tiny 0.56B Params
4k Context
11 Downloads
8G GPU ~2GB Est. VRAM
Dense XLMROBERTAFORTOKENCLASSIFICATION Architecture
Restricted EUPL License
Model Information Summary
Entity Passport
Registry ID ehri-ner/xlm-roberta-large-ehri-ner-all
License eupl-1.1
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ehri_ner_xlm_roberta_large_ehri_ner_all,
  author = {Ehri Ner},
  title = {Xlm Roberta Large Ehri Ner All Model},
  year = {2024},
  howpublished = {\url{https://huggingface.co/ehri-ner/xlm-roberta-large-ehri-ner-all}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ehri Ner. (2024). Xlm Roberta Large Ehri Ner All [Model]. Free2AITools. https://huggingface.co/ehri-ner/xlm-roberta-large-ehri-ner-all

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run xlm-roberta-large-ehri-ner-all
πŸ€— HF Download
huggingface-cli download ehri-ner/xlm-roberta-large-ehri-ner-all
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) 1
Recency (R) 18
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Xlm Roberta Large Ehri Ner All: Authority (A:39), Popularity (P:1), Recency (R:18), 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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Deployment reference

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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
11Downloads
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--ehri-ner--xlm-roberta-large-ehri-ner-all
slug
ehri-ner--xlm-roberta-large-ehri-ner-all
source
huggingface
author
Ehri Ner
license
eupl-1.1
tags
transformers, safetensors, xlm-roberta, token-classification, holocaust, ehri, cs, de, en, fr, hu, nl, pl, sk, yi, dataset:ehri-ner/ehri-ner-all, base_model:facebookai/xlm-roberta-large, base_model:finetune:facebookai/xlm-roberta-large, license:eupl-1.1, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
XLMRobertaForTokenClassification
params billions
0.56
context length
4,096
pipeline tag
token-classification
vram gb
1.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
11
stars
0
forks
0

Data indexed from public sources. Updated daily.