Download train/llava/model/multimodal_encoder/builder.py from GuoruiSong/ReVID: direct link, hf CLI and curl.
- Browser
- Download file 1.89 kB
-
https://huggingface.co/GuoruiSong/ReVID/resolve/main/train/llava/model/multimodal_encoder/builder.py
- Command line
-
hf download hf://GuoruiSong/ReVID/train/llava/model/multimodal_encoder/builder.py
-
curl -L -o builder.py https://huggingface.co/GuoruiSong/ReVID/resolve/main/train/llava/model/multimodal_encoder/builder.py
1.89 kB
| import os | |
| from .clip_encoder import CLIPVisionTower | |
| from .imagebind import ImageBindWrapper | |
| from .open_clip_encoder import OpenCLIPVisionTower | |
| from .hf_vision import HFVisionTower | |
| from .siglip_encoder import SigLipVisionTower | |
| from .clip_encoder import CLIPVisionTower, CLIPVisionTowerS2 | |
| # from .eva_clip.eva_clip_encoder import EvaClipVisionTower | |
| # from .dev_eva_clip.eva_vit import EvaViTWrapper | |
| def build_vision_tower(vision_tower_cfg, **kwargs): | |
| vision_tower = getattr(vision_tower_cfg, "mm_vision_tower", getattr(vision_tower_cfg, "vision_tower", None)) | |
| is_absolute_path_exists = os.path.exists(vision_tower) | |
| use_s2 = getattr(vision_tower_cfg, "s2", False) | |
| if vision_tower.startswith("openai") or vision_tower.startswith("laion") or "ShareGPT4V" in vision_tower: # is_absolute_path_exists or | |
| if use_s2: | |
| return CLIPVisionTowerS2(vision_tower, args=vision_tower_cfg, **kwargs) | |
| else: | |
| return CLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) | |
| elif "siglip" in vision_tower: | |
| return SigLipVisionTower(vision_tower, vision_tower_cfg=vision_tower_cfg, **kwargs) | |
| elif vision_tower.startswith("hf:"): | |
| return HFVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) | |
| elif vision_tower in ["imagebind_huge"]: | |
| return ImageBindWrapper(vision_tower, args=vision_tower_cfg, **kwargs) | |
| elif vision_tower.startswith("open_clip_hub"): | |
| return OpenCLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) | |
| # elif "internal-eva" in vision_tower.lower() or "eva02" in vision_tower.lower(): | |
| # return EvaClipVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) | |
| # elif vision_tower in ["EVA-CLIP-8B", "EVA-CLIP-8B-plus"]: | |
| # return EvaViTWrapper(vision_tower, args=vision_tower_cfg, **kwargs) | |
| raise ValueError(f"Unknown vision tower: {vision_tower}") | |