ai-mlaimachine-learninghuggingfacemodelsnlpdeep-learningtransformers

Hugging Face AI Model Directory

Free

Open dataset

Sample structure: 94.2 / 100

5 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: Hugging Face Hub API
Collection method: uploaded
Coverage start: Not documented
Coverage end: Not documented
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 94.2 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	44.2 / 50	115 of 130 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	115 of 115 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
model_id	0 / 10	string	0 / 10
author	0 / 10	string	0 / 10
model_name	0 / 10	string	0 / 10
pipeline_task	4 / 10	string	0 / 6
library	1 / 10	string	0 / 9
downloads_total	0 / 10	number	0 / 10
downloads_monthly	0 / 10	number	0 / 10
likes	0 / 10	number	0 / 10
tags	0 / 10	string	0 / 10
created_at	0 / 10	string	0 / 10
last_modified	10 / 10	unknown	0 / 0
is_private	0 / 10	boolean	0 / 10
gated	0 / 10	boolean	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Multi-source directory of AI/ML models from the Hugging Face Hub with metadata including model identifiers, authors, pipeline tasks (text-generation, image-classification, sentence-similarity), ML libraries (transformers, diffusers, sentence-transformers), download counts, community engagement metrics, framework tags, and gating information. Covers 30+ task categories and 20+ ML frameworks.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 756c67ea-99ee-42c9-91fc-a7932c70eecb --output dataset.bin

Full supplier documentation

Original supplier listing: Hugging Face AI Model Directory — 12K Models with Metadata Multi-source directory of 12,000 AI/ML models from the Hugging Face Hub, ranked by popularity. Each record includes the model identifier, author, model name, pipeline task (text-generation, image-classification, sentence-similarity, etc.), ML library (transformers, diffusers, sentence-transformers, etc.), total download count, monthly downloads, community likes, framework tags, creation date, privacy status, and gating information. Covers the top 12,000 most-downloaded models across 30+ task categories and 20+ ML frameworks. Useful for AI/ML ecosystem analysis, model popularity trends, framework adoption research, and building model recommendation systems. Sources: Hugging Face Hub public API (huggingface.co/api/models). Columns: model_id, author, model_name, pipeline_task, library, downloads_total, downloads_monthly, likes, tags, created_at, last_modified, is_private, gated

Schema

Name	Type	Description
model_id	string
author	string
model_name	string
pipeline_task	string
library	string
downloads_total	string
downloads_monthly	string
likes	string
tags	string
created_at	string
last_modified	string
is_private	string
gated	string

Sample Data

Preview a sample of the data before downloading.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Hugging Face AI Model Director" })
// Found: 756c67ea-99ee-42c9-91fc-a7932c70eecb
get_download_url({ dataset_id: "756c67ea-99ee-42c9-91fc-a7932c70eecb" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/756c67ea-99ee-42c9-91fc-a7932c70eecb/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"