🧠
Unixcoder Tuned Code Search Py model by Enoch
⭐ 24.2
🧠
Model

Unixcoder Tuned Code Search Py

by Enoch hf-model--enoch--unixcoder-tuned-code-search-py
Nexus Index
24.2 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 4
R: Recency 7
Q: Quality 50
Tech Context
Vital Performance
42 DL / 30D
0.0%
Source →
Audited 24.2 FNI Score
Tiny - Params
- Context
42 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--enoch--unixcoder-tuned-code-search-py
License Apache-2.0
Provider huggingface
📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__enoch__unixcoder_tuned_code_search_py,
  author = {Enoch},
  title = {Unixcoder Tuned Code Search Py Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/enoch/unixcoder-tuned-code-search-py}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Enoch. (2026). Unixcoder Tuned Code Search Py [Model]. Free2AITools. https://huggingface.co/enoch/unixcoder-tuned-code-search-py

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download enoch/unixcoder-tuned-code-search-py
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
24.2
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 4
Recency (R) 7
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Unixcoder Tuned Code Search Py: Semantic (S:50), Authority (A:0), Popularity (P:4), Recency (R:7), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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⚠ī¸ Incomplete Data

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📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
42Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--enoch--unixcoder-tuned-code-search-py
slug
enoch--unixcoder-tuned-code-search-py
source
huggingface
author
Enoch
license
Apache-2.0
tags
transformers, pytorch, roberta, feature-extraction, license:apache-2.0, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
feature-extraction

📊 Engagement & Metrics

downloads
42
stars
0
forks
0

Data indexed from public sources. Updated daily.