Hugging Face
E435862
Hugging Face is an AI company and open-source community best known for its tools and libraries that make it easy to build, share, and deploy state-of-the-art machine learning models.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Hugging Face canonical | 1 |
| Hugging Face Hub | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4389163 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugging Face Context triple: [Hugging Face Transformers, developer, Hugging Face]
-
A.
Hugging Face Transformers
Hugging Face Transformers is a widely used open-source library that provides state-of-the-art transformer-based models and tools for natural language processing and related machine learning tasks.
-
B.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
C.
Landing AI
Landing AI is a technology company focused on making artificial intelligence accessible to traditional industries by helping them build and deploy practical AI solutions, particularly in manufacturing and computer vision.
-
D.
Anthropic Claude
Anthropic Claude is an advanced AI assistant developed by Anthropic, designed to provide helpful, honest, and safe natural language interactions.
-
E.
OpenAI API platform
The OpenAI API platform is a cloud-based service that provides developers with programmatic access to OpenAI’s language, code, and other AI models for integration into applications and workflows.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugging Face Target entity description: Hugging Face is an AI company and open-source community best known for its tools and libraries that make it easy to build, share, and deploy state-of-the-art machine learning models.
-
A.
Hugging Face Transformers
Hugging Face Transformers is a widely used open-source library that provides state-of-the-art transformer-based models and tools for natural language processing and related machine learning tasks.
-
B.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
C.
Landing AI
Landing AI is a technology company focused on making artificial intelligence accessible to traditional industries by helping them build and deploy practical AI solutions, particularly in manufacturing and computer vision.
-
D.
Anthropic Claude
Anthropic Claude is an advanced AI assistant developed by Anthropic, designed to provide helpful, honest, and safe natural language interactions.
-
E.
OpenAI API platform
The OpenAI API platform is a cloud-based service that provides developers with programmatic access to OpenAI’s language, code, and other AI models for integration into applications and workflows.
- F. None of above. chosen
Statements (69)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence company
ⓘ
open-source community ⓘ software company ⓘ |
| collaboratesWith |
Amazon Web Services
NERFINISHED
ⓘ
Google NERFINISHED ⓘ Meta NERFINISHED ⓘ Microsoft NERFINISHED ⓘ |
| countryOfOrigin | France ⓘ |
| focusesOn |
audio processing
ⓘ
computer vision ⓘ large language models ⓘ multimodal models ⓘ open-source software ⓘ transformer models ⓘ |
| founded | 2016 ⓘ |
| foundedBy |
Clément Delangue
NERFINISHED
ⓘ
Julien Chaumond NERFINISHED ⓘ Thomas Wolf NERFINISHED ⓘ |
| hasCommunity |
data scientists
ⓘ
developers ⓘ researchers ⓘ |
| hasLogo | hugging face emoji logo ⓘ |
| hasOfficeIn |
New York City
ⓘ
Paris NERFINISHED ⓘ San Francisco NERFINISHED ⓘ |
| hasWebsite | https://huggingface.co ⓘ |
| headquartersLocation | New York City ⓘ |
| hosts |
datasets
ⓘ
demo applications ⓘ machine learning models ⓘ |
| industry |
artificial intelligence
ⓘ
machine learning ⓘ natural language processing ⓘ |
| knownFor |
Transformers library
NERFINISHED
ⓘ
open machine learning model hub ⓘ open-source AI tooling ⓘ |
| licenseUsed | Apache License 2.0 NERFINISHED ⓘ |
| notableProduct |
Accelerate library
NERFINISHED
ⓘ
AutoTrain NERFINISHED ⓘ Datasets library NERFINISHED ⓘ Diffusers library NERFINISHED ⓘ Gradio NERFINISHED ⓘ Hugging Face Hub NERFINISHED ⓘ Inference API NERFINISHED ⓘ Optimum NERFINISHED ⓘ PEFT library NERFINISHED ⓘ Spaces NERFINISHED ⓘ Tokenizers library NERFINISHED ⓘ Transformers library NERFINISHED ⓘ |
| offersService |
dataset hosting
ⓘ
inference endpoints ⓘ model deployment ⓘ model hosting ⓘ model training ⓘ |
| supportsFramework |
JAX
NERFINISHED
ⓘ
PyTorch NERFINISHED ⓘ TensorFlow NERFINISHED ⓘ |
| supportsProgrammingLanguage |
JavaScript
NERFINISHED
ⓘ
Python NERFINISHED ⓘ Rust NERFINISHED ⓘ |
| supportsTask |
image classification
ⓘ
machine translation ⓘ object detection ⓘ question answering ⓘ speech recognition ⓘ summarization ⓘ text classification ⓘ text generation ⓘ text-to-image generation ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Hugging Face Description of subject: Hugging Face is an AI company and open-source community best known for its tools and libraries that make it easy to build, share, and deploy state-of-the-art machine learning models.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Hugging Face Hub