Hugging Face Transformers is version 4.46.2, released in October 2025
Major updates include:
– Improved model loading performance and lazy imports for better memory efficiency.
– Enhanced support for Gemma 2, Llama 3.2 and Mistral 7B.
– New audio and vision models integration improvements.
– Expanded pipeline utilities for chat-based and multi-modal inference.
– Continued compatibility with PyTorch 2.0+, TensorFlow 2.15+ and JAX/Flax.
By hiring skilled Hugging Face developers from Nestack, your business can leverage these innovations to build intelligent chatbots, automated summarization tools, recommendation systems and other custom AI applications that deliver real business value.
Our developers are experienced in integrating Hugging Face Transformers with PyTorch, TensorFlow and JAX/Flax, ensuring smooth model training and deployment across various environments. With Python 3.8–3.12 compatibility and optimized model-loading techniques, your AI projects will run faster and more efficiently than ever.
Hugging Face’s inclusion in the Forbes AI 50 List 2025
Hugging Face’s inclusion in the Forbes AI 50 List 2025 proves its global impact as a leading open-source AI company. Recognized for advancing transformer-based AI models, Hugging Face has become the go-to platform for cutting-edge innovation in natural language processing, computer vision and multimodal AI.
If you’re planning to hire Hugging Face developers, this recognition matters — it confirms that the technology they specialize in is trusted by top AI researchers and enterprises worldwide. Skilled Hugging Face developers from Nestack can help you fine-tune state-of-the-art models, build intelligent automation tools or integrate open-source AI systems into your existing infrastructure.
Some upcoming AI-related events
The AI Conference 2025
Dates: September 17-18, 2025
Location: Mission Rock, San Francisco, USA
With many engineers, teams, startups and VCs present, this could serve as a recruiting or partnership opportunity. You might identify talent or firms to partner with for Hugging Face-related projects.