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hugging-face
Hugging Face is a prominent platform in the field of Natural Language Processing (NLP) and artificial intelligence (AI). Founded in 2016, it has gained recognition for its open-source libraries and pre-trained models that facilitate various NLP tasks, such as text classification, sentiment analysis, and translation. The platform aims to democratize access to state-of-the-art machine learning technologies, enabling researchers and developers to collaborate and share their models. Hugging Face’s Transformers library is particularly notable for its modular design, making it user-friendly for both research and production applications in the AI community.
What’s Hugging Face?
No, it’s not just the cute emoji on your phone Continue reading on Towards Data Science
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Beyond the Warm Embrace: A Deeper Look at Hugging Face
Hugging Face is a platform that offers tools and pre-trained models for various Natural Language Processing (NLP) and Natural Language Understanding (NLU) tasks. In our previous article, A Warm Embrac...
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Hugging Face: A Step Towards Democratizing NLP
Hugging face; no, I am not referring to one of our favorite emoji to express thankfulness, love, or appreciation. In the world of data science, Hugging Face is a startup in the Natural Language…
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Implement NLP Tasks Using Hugging Face
Hugging Face is an open-source AI community for and by machine learning practitioners with a focus on Natural Language Processing (NLP), computer vision and audio/speech processing tasks. Whether you…...
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Hugging Face Tutorial for Beginners!
Welcome to this beginner-friendly tutorial on sentiment analysis using Hugging Face’s transformers library! Sentiment analysis is a Natural Language Processing (NLP) technique used to determine the em...
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Hugging Face 🤗, with a warm embrace, meet R️ ❤️
I’m delighted that R users can have access to the incredible Hugging Face pre-trained models. In this demonstration, we provide a straightforward example of how to utilize them for sentiment analysis ...
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Hugging Face Pipelines
A practical guide on how to perform NLP tasks with Hugging Face Pipelines Image by Canva With the libraries developed recently, it has become easier to perform deep learning analysis. One of these li...
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An Entry Point Into HuggingFace
HuggingFace can be complex and complicated if you don’t know where to start to learn it. One entry point into HuggingFace repository are run_mlm.py and run_clm.py scripts. In this post, we will go thr...
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Getting Started with Hugging Face 🤗
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Why Hugging Face is Essential for Every Machine Learning Programmer
HuggingFace is a recent development in Computer Science history. If you look 4 years back at previous states of huggingface.co, you will find not even a quarter of the services built by HuggingFace ex...
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Unlocking the Power of Hugging Face for NLP Tasks
The field of Natural Language Processing (NLP) has seen significant advancements in recent years, largely driven by the development of sophisticated models capable of understanding and generating huma...
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How To Use Hugging Face Agents For NLP Tasks
Hugging Face, the open-source AI community for machine learning practitioners, recently integrated the concept of tools and agents into its popular Transformers library. If you have already used…
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