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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct |
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library_name: peft |
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pipeline_tag: summarization |
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widget: |
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- text: >- |
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Hugging Face: Revolutionizing Natural Language Processing Introduction In |
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the rapidly evolving field of Natural Language Processing (NLP), Hugging |
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Face has emerged as a prominent and innovative force. This article will |
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explore the story and significance of Hugging Face, a company that has |
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made remarkable contributions to NLP and AI as a whole. From its inception |
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to its role in democratizing AI, Hugging Face has left an indelible mark |
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on the industry. The Birth of Hugging Face Hugging Face was founded in |
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2016 by Clément Delangue, Julien Chaumond, and Thomas Wolf. The name |
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Hugging Face was chosen to reflect the company's mission of making AI |
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models more accessible and friendly to humans, much like a comforting hug. |
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Initially, they began as a chatbot company but later shifted their focus |
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to NLP, driven by their belief in the transformative potential of this |
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technology. Transformative Innovations Hugging Face is best known for its |
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open-source contributions, particularly the Transformers library. This |
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library has become the de facto standard for NLP and enables researchers, |
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developers, and organizations to easily access and utilize |
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state-of-the-art pre-trained language models, such as BERT, GPT-3, and |
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more. These models have countless applications, from chatbots and virtual |
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assistants to language translation and sentiment analysis. |
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example_title: Summarization Example 1 |
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Fine tuned llama3.1 8b instruct model to provide a short summary and a mini summary. Separated by (---). |
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