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Using pretrained encoder and language models to generate captions from multimedia inputs.

Python 99.68% Shell 0.32%

audio-captioning encoder-decoder image-captioning language-model vision-transformer vqa

clipcap's Introduction

I'm a Student that enjoys working on Data Science and Machine Learning projects.

clipcap's People

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igor0 andreaskoepf c00renut peternara rom1504 marcus-arcadius lucasleandro1204 shashwat1977 jaedukseo stephanielewkowitz zqevans hbcbh1999 whuhxb

clipcap's Issues

minimal usage instruction

Install with pip install ClipClap

use with

import clipclap

model = clipclap.load_pretrained()
text = clipclap.generate(PIL.open("https://some/img"))

text = clipclap.generate(my_clip_embedding)

(this is an example, please tune the API as you like)

inference

hello,thx for your codes,can you share the packages version and the pretrained model,thx

Release a pretrained model and add inference example

train and release models

to begin with, train on coco, and have clipcap.load_pretrained("coco_global_vit_b_32")

Evaluation using pre-trained model

Hello,

I love your work, really impressive stuff! I'm working on something similar and was wondering if you might have a pretrained model I could play around with for some basic tests.

Thanks!

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