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 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
- Xet hash:
- 871dc6543eeea0c53cdc63100721164ded879e77e68c5b207617c0035ab52b9a
- Size of remote file:
- 2.38 GB
- SHA256:
- e21f7e84ae93bc50a9bb14264349933d7ef1df32a236e392a3a08e1cb9ffd074
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