Questions tagged [pretrained-models]
For questions related to pre-trained model. A pre-trained model is a model that was trained on a large benchmark dataset to solve a problem similar to the one that we want to solve. Accordingly, due to the computational cost of training such models, it is common practice to import and use models from published literature (e.g. VGG, Inception, MobileNet)
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Is it good practice to save NLP Transformer based pre-trained models into file system in production environment
I have developed a multi label classifier using BERT. I'm leveraging Hugging Face Pytorch implementation for transformers.
I have saved the pretrained model into the file directory in dev environment. ...
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How to measure/estimate the energy consumption of CNN models during testing?
Does someone know a method to estimate / measure the total energy consumption during the test phase of the well-known CNN models? So with a tool or a power meter...
MIT has already a tool to estimate ...
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Can StyleGAN be refined without a full training?
Can I refine StyleGAN or StyleGAN2 without retraining it for many days, such that its pretrained model is trained to generate only faces similar to a (rather small) set of reference images?
I would ...
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How to add a pretrained model to my layers to get embeddings?
I want to use a pretrained model found in [BERT Embeddings] https://github.com/UKPLab/sentence-transformers and I want to add a layer to get the sentence embeddings from the model and pass on to the ...
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50 views
How to use pre-trained BERT to extract the vectors from sentences?
I'm trying to extract the vectors from the sentences. Spent soo much time searching for the pre-trained BERT models but found nothing.
Is it possible to get the vectors using pre-trained BERT from ...
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How to Extract required fields from a text(pdf extracted)file?
I have extracted text from pdf files to each text file.
Sample of a text file:
...
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1answer
36 views
How does a software license apply to pretrained models?
Google provides a lot of pretrained tensorflow models, but I cannot find a license.
I am interested in the tfjs-models. The code is licensed Apache-2.0, but the models are downloaded by the code, so ...
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How can I deploy a Keras machine translation model on Flask or django [closed]
I want to deploy a machine translation system implemented in Keras on Flask.
In which format do I have to save my model for flask?
Is there a tutorial that shows how to deploy a Keras model on Flask?...
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Can mobilenet in some cases perform better than inception_v3 and inception_resnet_v2?
I have implemented a multi-label image classification model where I can choose which model to use, I was surprised to find out that in my case mobilenet_v1_224 performed much better (95% Accuracy) ...
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How can I improve the performance of a model trained to detect vehicle poses?
I'm looking for some suggestions on how to improve our vehicle image recognition. We have an online marketplace where customers submit photos of their vehicles. The photos need to meet certain ...
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Are there any better visual models for transfer rather than ImageNet?
Similar to the recent pushes in Pretrained Language Models (BERT, GPT2, XLNet) I was wondering if such a thrust exists in Computer Vision?
From my understanding, it seems the community has converged ...
