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Distilbert Base Uncased Qa1 Finetuned Squad Es model by edyfjm07
⭐ 25.6
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Model

Distilbert Base Uncased Qa1 Finetuned Squad Es

by edyfjm07 edyfjm07/distilbert-base-uncased-qa1-finetuned-squad-es
Free2AITools Nexus Index
25.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 1
R: Recency 20
Q: Quality 50
Tech Context
512 Ctx
Vital Performance
9 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 25.6 FNI Score
Tiny - Params
1k Context
9 Downloads
Dense DISTILBERTFORQUESTIONANSWERING Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID edyfjm07/distilbert-base-uncased-qa1-finetuned-squad-es
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{edyfjm07_distilbert_base_uncased_qa1_finetuned_squad_es,
  author = {edyfjm07},
  title = {Distilbert Base Uncased Qa1 Finetuned Squad Es Model},
  year = {2024},
  howpublished = {\url{https://huggingface.co/edyfjm07/distilbert-base-uncased-QA1-finetuned-squad-es}},
  note = {Accessed via Free2AITools.}
}
APA Style
edyfjm07. (2024). Distilbert Base Uncased Qa1 Finetuned Squad Es [Model]. Free2AITools. https://huggingface.co/edyfjm07/distilbert-base-uncased-QA1-finetuned-squad-es

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download edyfjm07/distilbert-base-uncased-qa1-finetuned-squad-es
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) 29
Popularity (P) 1
Recency (R) 20
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Distilbert Base Uncased Qa1 Finetuned Squad Es: Authority (A:29), Popularity (P:1), Recency (R:20), 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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⚠️ 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
9Downloads
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--edyfjm07--distilbert-base-uncased-qa1-finetuned-squad-es
slug
edyfjm07--distilbert-base-uncased-qa1-finetuned-squad-es
source
huggingface
author
edyfjm07
license
Apache-2.0
tags
transformers, tf, tensorboard, distilbert, question-answering, generated_from_keras_callback, es, dataset:edyfjm07/squad_indicaciones_es, base_model:distilbert/distilbert-base-uncased, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
DistilBertForQuestionAnswering
context length
512
pipeline tag
question-answering

πŸ“Š Engagement & Metrics

downloads
9
stars
0
forks
0

Data indexed from public sources. Updated daily.