@NielsRogge: We've added support for SAM-3 Lite-Text in the Transformers library! > replaces the heavy text encoder in SAM-3 with a …
Summary
Hugging Face Transformers library adds support for SAM-3 Lite-Text, replacing the heavy text encoder with a compact MobileCLIP student model trained via knowledge distillation, achieving 88% parameter reduction while maintaining performance.
View Cached Full Text
Cached at: 04/21/26, 07:07 AM
We’ve added support for SAM-3 Lite-Text in the Transformers library! > replaces the heavy text encoder in SAM-3 with a compact MobileCLIP student > trained via knowledge distillation > maintains performance while reducing parameters by 88%
Similar Articles
HuggingFace's Transformers: State-of-the-art Natural Language Processing
This paper presents the Transformers library, an open-source library that provides state-of-the-art Transformer architectures and pretrained models under a unified API, designed to make advanced natural language processing accessible to the broader machine learning community.
huggingface/transformers Release 5.8.0
Hugging Face has released version 5.8.0 of the Transformers library, a widely used open-source framework for natural language processing and deep learning.
GitHub - kallewoof/tftf: Transforming Transformers -- ultra light-weight pipeline for enormous transformer model manipulation with minimal overhead
tftf is a lightweight, streaming pipeline for manipulating HuggingFace safetensors models, enabling FP8 dequantisation, LoRA merging, and other operations without loading the full model into memory, minimizing RAM and VRAM overhead.
K3 Dropped!
Moonshot AI released Kimi-K3, a multimodal image-text-to-text model available on Hugging Face with support for Transformers, vLLM, SGLang, and Docker.
huggingface/transformers Release v5.6.0
Hugging Face released version 5.6.0 of its popular transformers library.