dynamic-batch-size

Star

Here are 4 public repositories matching this topic...

hfxunlp / transformer

Star

Neutron: A pytorch based implementation of Transformer and its variants.

Updated Aug 10, 2023
Python

ndtands / Speed_up_Model

Star

Increase the inference speed of the model

pytorch classification triton resnet-50 tensorrt onnx dynamic-batch-size

Updated Jun 7, 2022
Python

quanvuhust / Export-ONNX-float-16

Star

Export pytorch model to ONNX and convert ONNX from float32 to float 16

deep-learning pytorch deep-convolutional-networks fp16 onnx dynamic-batch-size convnext

Updated Feb 2, 2023
Python

Rishabbh-Sahu / ignore_email_address_classifier

Star

Important vs Ignore email classifier based on incoming email addresses. Bert tokenizer is used as a tokenization method and CNN network as the model. Framework used - Tensorflow 2.4

text-classification embeddings cnn-classification tensorflow2 bert-embeddings bert-tokenizer dynamic-batch-size email-address-classifier important-ignore-email-classifier gpu-cuda-11

Updated May 17, 2022
Python

Improve this page

Add a description, image, and links to the dynamic-batch-size topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the dynamic-batch-size topic, visit your repo's landing page and select "manage topics."

Learn more

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

dynamic-batch-size

Here are 4 public repositories matching this topic...

hfxunlp / transformer

ndtands / Speed_up_Model

quanvuhust / Export-ONNX-float-16

Rishabbh-Sahu / ignore_email_address_classifier

Improve this page

Add this topic to your repo