Manga109 Segmentation Bubble
This repository contains a SafeTensors conversion of huyvux3005/manga109-segmentation-bubble for the Torch implementation in Koharu.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 10,9 MB
- Modelo base
- huyvux3005/manga109-segmentation-bubble
- Versão
- vRevision 4c9d7cb
- Atualizado
- 10 de out. de 2026
- Downloads
- 47
- Fonte
- Hugging Face
Descrição da fonte
Manga109 speech-bubble segmentation (SafeTensors)
This repository contains a SafeTensors conversion of
huyvux3005/manga109-segmentation-bubble
for the Torch implementation in Koharu.
- Source revision:
f9a4108c4955136a810e5e92207972f3fb3a65fd - Source
best.ptSHA-256:4028152940f7c910f40192f46ede3b3f6c7129e5c76849c324d3564f8ac50198 - Ultralytics version recorded by the checkpoint:
8.3.227 - Architecture: YOLO11n instance segmentation, one
balloonclass, 1600-pixel inference size
The conversion copies all EMA model tensors without quantization or dtype changes.
PyTorch BatchNorm num_batches_tracked counters are omitted because they are not
model parameters and are not used during inference.
The original model and this conversion are distributed under Apache-2.0.
Fontes
1 fonte
Fontes
1 fonteVerificado 10 de out.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- license: apache-2.0 library_name: pytorch pipeline_tag: image-segmentation base_model: huyvux3005/manga109-segmentation-bubble tags: - safetensors - yolo - yolov11 - manga - speech-bubble - segmentation --- # Manga109 speech-bubble segmentation (SafeTensors) This repository contains a SafeTensors conversion of [`huyvux3005/manga109-segmentation-bubble`](https://huggingface.co/huyvux3005/manga109-segmentation-bubble) for the Torch implementation in Koharu. - Source revision: `f9a4108c4955136a810e5e92207972f3fb3a65fd` - Source `best.pt` SHA-256: `4028152940f7c910f40192f46ede3b3f6c7129e5c76849c324d3564f8ac50198` - Ultralytics version recorded by the checkpoint: `8.3.227` - Architecture: YOLO11n instance segmentation, one `balloon` class, 1600-pixel inference size The conversion copies all EMA model tensors without quantization or dtype changes. PyTorch BatchNorm `num_batches_tracked` counters are omitted because they are not model parameters and are not used during inference. The original model and this conversion are distributed under Apache-2.0.
Source context: 47 downloads · 0 likes · Pipeline image-segmentation · Library pytorch · Repo mayocream/manga109-segmentation-bubble
Source context: 33 downloads · 0 likes · Pipeline image-segmentation · Library pytorch · Repo mayocream/manga109-segmentation-bubble
