Sponsored by PoYo.AI
Toolify Toolify logo
AI Models
resnet_tte

StanfordShahLab / resnet_tte

Run on huggingface.co
huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 1
30-day runs: 3
Model's Last Updated: April 29 2025

Introduction of resnet_tte

Model Details of resnet_tte

DenseNet Checkpoint

This is a PyTorch Lightning .ckpt checkpoint for a ResNet model trained on chest CT images with TTE objective.

Usage

A quickstart script is below. 

import torch
from src.networks import resnet152
model = resnet152(n_input_channels=1, num_classes=2).to(device)
state_dict = torch.load(
        loadmodel_path, map_location=f"cuda:{torch.cuda.current_device()}"
    )
model.load_state_dict(state_dict)

For detailed instructions please follow the README in Github repo .

Runs of StanfordShahLab resnet_tte on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
3
30-day runs

More Information About resnet_tte huggingface.co Model

More resnet_tte license Visit here:

https://choosealicense.com/licenses/apache-2.0

resnet_tte huggingface.co

resnet_tte huggingface.co is an AI model on huggingface.co that provides resnet_tte's model effect (), which can be used instantly with this StanfordShahLab resnet_tte model. huggingface.co supports a free trial of the resnet_tte model, and also provides paid use of the resnet_tte. Support call resnet_tte model through api, including Node.js, Python, http.

resnet_tte huggingface.co Url

https://huggingface.co/StanfordShahLab/resnet_tte

StanfordShahLab resnet_tte online free

resnet_tte huggingface.co is an online trial and call api platform, which integrates resnet_tte's modeling effects, including api services, and provides a free online trial of resnet_tte, you can try resnet_tte online for free by clicking the link below.

StanfordShahLab resnet_tte online free url in huggingface.co:

https://huggingface.co/StanfordShahLab/resnet_tte

resnet_tte install

resnet_tte is an open source model from GitHub that offers a free installation service, and any user can find resnet_tte on GitHub to install. At the same time, huggingface.co provides the effect of resnet_tte install, users can directly use resnet_tte installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

resnet_tte install url in huggingface.co:

https://huggingface.co/StanfordShahLab/resnet_tte

Url of resnet_tte

Provider of resnet_tte huggingface.co

StanfordShahLab
ORGANIZATIONS
huggingface.co

Other API from StanfordShahLab