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Ronnie-lhh/BiSem
BiSem is a video-to-video model from Ronnie-lhh. Use it for the video-to-video task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as apache-2.0.
This repository contains the complete model, training-initialization, and evaluation weights used by BiSem, a Vision Transformer-based video semantic communication system.
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Updated Sep 2, 2026
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.pth4.1 GB · 91%
From the Hugging Face model README
This repository contains the complete model, training-initialization, and evaluation weights used by BiSem, a Vision Transformer-based video semantic communication system.
BiSem/
├── README.md
└── checkpoints/
├── bisem/ # Complete checkpoints for inference
│ ├── bisem_full_fp32.pth
│ ├── bisem_full_1b.pth
│ ├── bisem_full_1.58b.pth
│ ├── bisem_kf2_fp32.pth
│ ├── bisem_kf4_fp32.pth
│ ├── bisem_kf4_1b.pth
│ ├── bisem_kf4_1.58b.pth
│ └── bisem_kf8_fp32.pth
├── pretrained/ # Encoder/decoder training initialization
│ ├── sc_enc/
│ │ └── vit_base_patch16_224.safetensors
│ └── sc_dec/
│ └── SD.pth
├── tfhub/ # I3D model used by FVD evaluation
└── torch/hub/checkpoints/ # AlexNet/Inception metric weights
The files under checkpoints/bisem/ are complete PyTorch state_dict checkpoints.
All released models use 16-frame RGB clips at 224 × 224, ImageNet normalization, a 64-dimensional semantic channel, and an AWGN channel model.
| Checkpoint | Temporal mode | Frames transmitted | Weight mode | Activation mode | Size |
|---|---|---|---|---|---|
bisem_full_fp32.pth | Full | 16 / 16 | FP32 | FP32 | 432.6 MiB |
bisem_full_1b.pth | Full | 16 / 16 | 1-bit | INT8 | 432.6 MiB |
bisem_full_1.58b.pth | Full | 16 / 16 | 1.58-bit | INT8 | 432.6 MiB |
bisem_kf2_fp32.pth | Keyframe | 2 / 16 | FP32 | FP32 | 436.9 MiB |
bisem_kf4_fp32.pth | Keyframe | 4 / 16 | FP32 | FP32 | 436.9 MiB |
bisem_kf4_1b.pth | Keyframe | 4 / 16 | 1-bit | INT8 | 436.9 MiB |
bisem_kf4_1.58b.pth | Keyframe | 4 / 16 | 1.58-bit | INT8 | 436.9 MiB |
bisem_kf8_fp32.pth | Keyframe | 8 / 16 | FP32 | FP32 | 436.9 MiB |
The files under checkpoints/pretrained/ initialize a new model before training:
| File | Purpose | Size |
|---|---|---|
vit_base_patch16_224.safetensors | Initializes the ViT-B/16 semantic encoder | 330.2 MiB |
SD.pth | Initializes the MAE-style semantic decoder | 101.9 MiB |
The remaining directories contain third-party feature extractors cached locally so evaluation can run without downloading weights at runtime:
checkpoints/tfhub/: Kinetics-400 I3D TensorFlow Hub module used for Frechet Video Distance (FVD).checkpoints/torch/hub/checkpoints/alexnet-owt-7be5be79.pth: AlexNet backbone used by LPIPS.checkpoints/torch/hub/checkpoints/weights-inception-2015-12-05-6726825d.pth: Inception weights used by FID.Download the complete repository into the BiSem project with huggingface_hub:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Ronnie-lhh/BiSem",
local_dir=".",
)
SHA-256 checksums for the BiSem and initialization weights:
d9675f1a96e7d194416342855678c04385ebbc602200eca2fadb950e9bd08faa checkpoints/bisem/bisem_full_fp32.pth
fd3a60cc18adc8066a3338b32e8840cc8b410194bd5d2f07aeb2a255dac363b0 checkpoints/bisem/bisem_full_1b.pth
e4ce7366fad41a3c95badce08a5020d31ed3090bf7c3ac9ee98bcb77f1243b71 checkpoints/bisem/bisem_full_1.58b.pth
4cace85ce4482701509d22f035509b89ab0cf5130cc0d14e1e4e2daa32a326ee checkpoints/bisem/bisem_kf2_fp32.pth
0d45c54c622fff50736539d7c5aa9e3da34f20e817ef5b8d2d311d49464aa4c6 checkpoints/bisem/bisem_kf4_fp32.pth
73f596d21552e6b6e57480d3990d1dc1147cf6595293a8b1c948eb2964fc3141 checkpoints/bisem/bisem_kf4_1b.pth
6251ce712dbda0a157cd31d89483612c6e8d1109b467d47696ae102d2c63d083 checkpoints/bisem/bisem_kf4_1.58b.pth
881c5484151c292a1f706c317f91e9df8bd575d49f56320cd31232b6618b2632 checkpoints/bisem/bisem_kf8_fp32.pth
32aa17d6e17b43500f531d5f6dc9bc93e56ed8841b8a75682e1bb295d722405b checkpoints/pretrained/sc_enc/vit_base_patch16_224.safetensors
91121a867608491c46cd7aec5e53aeb5472f32c280e5e80d142a4186785b8fb3 checkpoints/pretrained/sc_dec/SD.pth