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LysandreJik merged 1 commit into from
Nov 15, 2024
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Update llava.md #34749

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4 changes: 2 additions & 2 deletions docs/source/en/model_doc/llava.md
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Expand Up @@ -85,10 +85,10 @@ LLaVa also supports batched inference. Here is how you can do it:
import requests
from PIL import Image
import torch
from transformers import AutoProcessor, LLavaForConditionalGeneration
from transformers import AutoProcessor, LlavaForConditionalGeneration

# Load the model in half-precision
model = LLavaForConditionalGeneration.from_pretrained("llava-hf/llava-1.5-7b-hf", torch_dtype=torch.float16, device_map="auto")
model = LlavaForConditionalGeneration.from_pretrained("llava-hf/llava-1.5-7b-hf", torch_dtype=torch.float16, device_map="auto")
processor = AutoProcessor.from_pretrained("llava-hf/llava-1.5-7b-hf")

# Get two different images
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