Tags: hugging face*

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  1. smolagents is a simple library that enables agentic capabilities for language models, allowing them to interact with external tools and perform tasks based on real-world data.

    2024-12-31 Tags: , , , , by klotz
  2. Hugging Face's SmolAgents simplifies the creation of intelligent agents by allowing developers to build them with just a few lines of code using powerful pretrained models.

    2024-12-31 Tags: , , , by klotz
  3. A detailed guide on creating a text classification model with Hugging Face's transformer models, including setup, training, and evaluation steps.

  4. HunyuanVideo is an open-source video generation model that showcases performance comparable to or superior to leading closed-source models. It includes features like a unified image and video generative architecture, a large language model text encoder, and a causal 3D VAE for spatial-temporal compression.

  5. Hugging Face launches Gradio 5, a major update to its popular open-source tool for creating machine learning applications, aimed at making AI development more accessible and secure for enterprises.

  6. The release of WordLlama on Hugging Face marks a pivotal moment in natural language processing (NLP). This advanced language model is designed to offer developers, researchers, and businesses a highly efficient and accessible tool for various NLP applications.

  7. NuExtract is a fine-tuned version of phi-3-mini for information extraction. It requires a JSON template describing the information to extract and an input text. Provides tiny (0.5B) and large (7B) versions.

  8. Hugging Face introduces a unified tool use API across multiple model families, making it easier to implement tool use in language models.

    Hugging Face has extended chat templates to support tools, offering a unified approach to tool use with the following features:

    • Defining tools: Tools can be defined using JSON schema or Python functions with clear names, accurate type hints, and complete docstrings.
    • Adding tool calls to the chat: Tool calls are added as a field of assistant messages, including the tool type, name, and arguments.
    • Adding tool responses to the chat: Tool responses are added as tool messages containing the tool name and content.
  9. DavidAU's model collection on Hugging Face includes various AI and ML models, such as GALAXY-XB, Mini-MOEs, TinyLlama, and Psyonic-Cetacean. These models are designed for text generation, single/multiple LLMs, and automation tasks.

    2024-06-27 Tags: , , , by klotz
  10. This article discusses how to overcome limitations of retrieval-augmented generation (RAG) models by creating an AI assistant using advanced SQL vector queries. The author uses tools such as MyScaleDB, OpenAI, LangChain, Hugging Face and the HackerNews API to develop an application that enhances the accuracy and efficiency of data retrieval process.

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