Mu is built on a transformer-based encoder-decoder architecture featuring 330 million token parameters, making the SLM a good ...

A major aspect of beyond 3G networks is the efficient integration of multiple radio access technologies in a common network. One advantage of this multi-radio access integration will be an increased ...

System Info env: Name: transformers Version: 4.53.0.dev0 whe i called hte code bellowed: model = AutoModelForImageTextToText.from_pretrained(model_id, local_files_only=True, ... ImportError: cannot ...

We developed a deep-learning pipeline using a U-Net–type encoder–decoder architecture for precise pixel-level CTC discrimination in peripheral blood nucleated cells (PBNCs). This method preserves ...

Transformer-Based: GPT uses a decoder-only Transformer architecture with no recurrence. Key Components: Multi-Head Self-Attention: Captures dependencies across all tokens simultaneously. Feedforward ...

Recently, various deep learning accelerators are being studied through data flow structure improvement and memory access optimization. Among them, the encoder-decoder model is widely used in object ...