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 model-00015-of-00017.safetensors from LanguageBind/UniWorld-V1: direct link, hf CLI and curl.
- Browser
- Download file 4.95 GB
-
https://huggingface.co/LanguageBind/UniWorld-V1/resolve/refs%2Fpr%2F4/model-00015-of-00017.safetensors
- Command line
-
hf download hf://LanguageBind/UniWorld-V1@refs/pr/4/model-00015-of-00017.safetensors
-
curl -L -o model-00015-of-00017.safetensors https://huggingface.co/LanguageBind/UniWorld-V1/resolve/refs%2Fpr%2F4/model-00015-of-00017.safetensors
4.95 GB
- Xet hash:
- c3dc04be1043136f2acdbd0588acf444ce9f13f4b7be839df4cc4e086ec553b9
- Size of remote file:
- 4.95 GB
- SHA256:
- 911458ff9d13fabf9481649dc6549c74e0bb5ac64211c2fe50642e45b33194f2
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