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Your Name 2025-02-23 09:39:30 +08:00
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@ -71,10 +71,12 @@ A simple demo would be:
from namo.api.vl import VLInfer
# model will download automatically
model = VLInfer(model_type='namo')
model = VLInfer(
model_type="namo", device="cuda:0" if torch.cuda.is_available() else "cpu"
)
# default will have streaming
model.generate('what is this?', 'images/cats.jpg', stream=True)
model.generate(images='images/cats.jpg', prompt='what is this?')
```
That's all!