Comments (3)
It seems like you fine tuned using LoRa, which means you have to use the merge_lora_weights.py script (located under scripts/ folder) before trying inference.
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@itay1542 I have ran the merge_lora_weights.py and created the merged one. but getting an error,
File "/home/skadmin/cx-research/core/Llava/llava/eval/run_llava.py", line 117, in eval_model
images_tensor = process_images(
File "/home/skadmin/cx-research/core/Llava/llava/mm_utils.py", line 171, in process_images
image = expand2square(image, tuple(int(x*255) for x in image_processor.image_mean))
AttributeError: 'NoneType' object has no attribute 'image_mean'
here is the code:
model_path = "./saved_model"
model_name = get_model_name_from_path(model_path)
tokenizer, model, image_processor, context_len = load_pretrained_model(model_path, None, model_name)
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@itay1542 I have fine tuned the model without lora, Now what should i do for the inference. Kindly guide me
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