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After train the model can we use only target-encoder for down-stream task ?? like- image captioning etc.
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is there a quantized version somewhere?
code:
```
import torch
import requests
from PIL import Image
from transformers import Blip2Processor, Blip2ForConditionalGeneration
processor = Blip2…
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pretrained image captioning model that can be used for zero-shot classification
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After working whole day I finally coded it and published it.
Also I found a better prompt that captions better.
**You can download auto installer at here : https://www.patreon.com/posts/90744385…
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Hi all! I would like to request for a tagger node to be added. Specifically so you can grab other images, drop them in, and have tags generated for it! This can primarily be used for training, caption…
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`!!! Exception during processing !!! cannot access local variable 'image1' where it is not associated with a value
Traceback (most recent call last):
File "C:\Users\Robert\Downloads\ComfyUI_window…
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### Describe your use-case.
There are multiple simple models used in this repository: Blip, Clip and WD-taggers. However, when it comes to detailed description, they are all dwarfed by modern multi…
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Hi there,
I am have been trying to reach out to your team via emails.
I am the author of this project: https://github.com/himerosai/allthingsearch
which is a 3d search engine and would love to add …
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Hello, I wondered if there was a way to train the model and new data. I am sorry if I missed the documentation somewhere.
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Hello, when `python train.py` was executed I faced an odd error:
```
Traceback (most recent call last):
File "D:\a-PyTorch-Tutorial-to-Image-Captioning\train.py", line 332, in
main()
Fil…