Instructions to use LanguageBind/UniWorld-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- univa
How to use LanguageBind/UniWorld-V1 with univa:
# Follow installation instructions at https://github.com/PKU-YuanGroup/UniWorld-V1 import torch from transformers import AutoProcessor from univa.models.qwen2p5vl.modeling_univa_qwen2p5vl import UnivaQwen2p5VLForConditionalGeneration model = UnivaQwen2p5VLForConditionalGeneration.from_pretrained( "LanguageBind/UniWorld-V1", torch_dtype=torch.bfloat16, attn_implementation="flash_attention_2", ).to("cuda") processor = AutoProcessor.from_pretrained("LanguageBind/UniWorld-V1") - Notebooks
- Google Colab
- Kaggle
Download flux-redux-siglipv2-512.bin from LanguageBind/UniWorld-V1: direct link, hf CLI and curl.
- Browser
- Download file 129 MB
-
https://huggingface.co/LanguageBind/UniWorld-V1/resolve/main/flux-redux-siglipv2-512.bin
- Command line
-
hf download hf://LanguageBind/UniWorld-V1/flux-redux-siglipv2-512.bin
-
curl -L -o flux-redux-siglipv2-512.bin https://huggingface.co/LanguageBind/UniWorld-V1/resolve/main/flux-redux-siglipv2-512.bin
129 MB
- Xet hash:
- 9581b82e8d6985d30f3eed8543c6876a2d019e0b998e007d55223f67fa706c13
- Size of remote file:
- 129 MB
- SHA256:
- 20502187b641b387d3253acb1e6f86b11b24b693f7458c5e94763e1abff93d4b
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