@@ -25,7 +25,7 @@ The :class:`~vllm.LLM` class can be instantiated in much the same way as languag
To pass an image to the model, note the following in :class:`vllm.inputs.PromptType`:
* ``prompt``: The prompt should follow the format that is documented on HuggingFace.
* ``multi_modal_data``: This is a dictionary that follows the schema defined in :class:`vllm.multimodal.MultiModalDataDict`.
* ``multi_modal_data``: This is a dictionary that follows the schema defined in :class:`vllm.multimodal.MultiModalDataDict`.
.. code-block:: python
...
...
@@ -34,7 +34,7 @@ To pass an image to the model, note the following in :class:`vllm.inputs.PromptT
# Load the image using PIL.Image
image = PIL.Image.open(...)
# Single prompt inference
outputs = llm.generate({
"prompt": prompt,
...
...
@@ -68,7 +68,7 @@ To pass an image to the model, note the following in :class:`vllm.inputs.PromptT
"prompt": prompt,
"multi_modal_data": mm_data,
})
for o in outputs:
generated_text = o.outputs[0].text
print(generated_text)
...
...
@@ -116,7 +116,7 @@ Instead of passing in a single image, you can pass in a list of images.
.. code-block:: python
# Refer to the HuggingFace repo for the correct format to use
prompt = "<|user|>\n<image_1>\n<image_2>\nWhat is the content of each image?<|end|>\n<|assistant|>\n"
prompt = "<|user|>\n<|image_1|>\n<|image_2|>\nWhat is the content of each image?<|end|>\n<|assistant|>\n"
# Load the images using PIL.Image
image1 = PIL.Image.open(...)
...
...
@@ -135,11 +135,11 @@ Instead of passing in a single image, you can pass in a list of images.
A code example can be found in `examples/offline_inference_vision_language_multi_image.py <https://github.com/vllm-project/vllm/blob/main/examples/offline_inference_vision_language_multi_image.py>`_.
Multi-image input can be extended to perform video captioning. We show this with `Qwen2-VL <https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct>`_ as it supports videos:
Multi-image input can be extended to perform video captioning. We show this with `Qwen2-VL <https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct>`_ as it supports videos:
.. code-block:: python
# Specify the maximum number of frames per video to be 4. This can be changed.
# Specify the maximum number of frames per video to be 4. This can be changed.
