🧠
Ast Finetuned Gtzan model by ramsri818
⭐ 25.6
🧠
Model

Ast Finetuned Gtzan

by ramsri818 ramsri818/ast-finetuned-gtzan
Free2AITools Nexus Index
25.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 11
Q: Quality 50
Tech Context
Vital Performance
9 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 25.6 FNI Score
Tiny - Params
- Context
9 Downloads
Dense ASTFORAUDIOCLASSIFICATION Architecture
Restricted BSD License
Model Information Summary
Entity Passport
Registry ID ramsri818/ast-finetuned-gtzan
License BSD-3-Clause
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ramsri818_ast_finetuned_gtzan,
  author = {ramsri818},
  title = {Ast Finetuned Gtzan Model},
  year = {2023},
  howpublished = {\url{https://huggingface.co/ramsri818/ast-finetuned-gtzan}},
  note = {Accessed via Free2AITools.}
}
APA Style
ramsri818. (2023). Ast Finetuned Gtzan [Model]. Free2AITools. https://huggingface.co/ramsri818/ast-finetuned-gtzan

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download ramsri818/ast-finetuned-gtzan
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) 1
Recency (R) 11
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Ast Finetuned Gtzan: Authority (A:0), Popularity (P:1), Recency (R:11), 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.

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--ramsri818--ast-finetuned-gtzan
slug
ramsri818--ast-finetuned-gtzan
source
huggingface
author
ramsri818
license
BSD-3-Clause
tags
transformers, pytorch, tensorboard, audio-spectrogram-transformer, audio-classification, generated_from_trainer, dataset:marsyas/gtzan, license:bsd-3-clause, model-index, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
ASTForAudioClassification
pipeline tag
audio-classification

πŸ“Š Engagement & Metrics

downloads
9
stars
0
forks
0

Data indexed from public sources. Updated daily.