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blip-image-captioning-large

Image-to-Text
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mobilint-blip
text-generation
custom_code
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Use from the
Transformers library
# Use a pipeline as a high-level helper
# Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# 'pip install "transformers<5.0.0'
from transformers import pipeline

pipe = pipeline("image-to-text", model="mobilint/blip-image-captioning-large", trust_remote_code=True)
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("mobilint/blip-image-captioning-large", trust_remote_code=True, device_map="auto")
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This repository provides a model compiled and optimized for Mobilint NPU hardware.
The model is packaged for deployment on Mobilint’s acceleration stack and is intended to be used within that environment.

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F32
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