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Download README.md from OpenLab-NLP/HyperConv-Layer: direct link, hf CLI and curl.
- Browser
- Download file 459 Bytes
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https://huggingface.co/OpenLab-NLP/HyperConv-Layer/resolve/main/README.md
- Command line
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hf download hf://OpenLab-NLP/HyperConv-Layer/README.md
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curl -L -o README.md https://huggingface.co/OpenLab-NLP/HyperConv-Layer/resolve/main/README.md
459 Bytes
| license: apache-2.0 | |
| HyperConv is a TensorFlow layer that combines local convolution, global hypernetwork-based modulation, and associative memory, designed for efficient long-context representation learning without self-attention. | |
| Primary use cases: | |
| - Embedding models | |
| - Retrieval and similarity search | |
| - Long-context sequence modeling | |
| HyperConv is the mainstay of all openlem series since openlem2 of OpenLab-NLP. | |
| First released: 2025-12-15 (UTC) |