🧠
Model

Pokemon TCG All Cards 1999 - 2023

by adampq hf-dataset--adampq--pokemon-tcg-all-cards-1999-2023
Nexus Index
23.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 57
R: Recency 1
Q: Quality 30
Tech Context
Vital Performance
3.5K DL / 30D
0.0%
Audited 23.5 FNI Score
Tiny - Params
- Context
3.5K Downloads
Restricted ATTRIBUTION License
Model Information Summary
Entity Passport
Registry ID hf-dataset--adampq--pokemon-tcg-all-cards-1999-2023
License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Provider kaggle
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_dataset__adampq__pokemon_tcg_all_cards_1999_2023,
  author = {adampq},
  title = {Pokemon TCG All Cards 1999 - 2023 Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/hf-dataset--adampq--pokemon-tcg-all-cards-1999-2023}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
adampq. (2026). Pokemon TCG All Cards 1999 - 2023 [Model]. Free2AITools. https://free2aitools.com/model/hf-dataset--adampq--pokemon-tcg-all-cards-1999-2023

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download adampq/pokemon-tcg-all-cards-1999-2023
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Nexus Index V2.0

23.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 57
Recency (R) 1
Quality (Q) 30

πŸ’¬ Index Insight

FNI V2.0 for Pokemon TCG All Cards 1999 - 2023: Semantic (S:50), Authority (A:0), Popularity (P:57), Recency (R:1), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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πŸš€ What's Next?

Technical Deep Dive

Aggregate csv of all related set and card data found within the PokΓ©mon TCG API

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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
3.5KDownloads
πŸ”„ Daily sync (03:00 UTC)

AI Summary: Based on Kaggle 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-dataset--adampq--pokemon-tcg-all-cards-1999-2023
slug
adampq--pokemon-tcg-all-cards-1999-2023
source
kaggle
author
adampq
license
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
tags
[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object

βš™οΈ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

πŸ“Š Engagement & Metrics

downloads
3,488
stars
58
forks
0

Data indexed from public sources. Updated daily.