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densenet_tte

StanfordShahLab / densenet_tte

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

Introduction of densenet_tte

Model Details of densenet_tte

DenseNet Checkpoint

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

Usage

A quickstart script is below. 

import torch
from src.networks import DenseNet121
model = DenseNet121(spatial_dims=3, in_channels=1, out_channels=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 densenet_tte on huggingface.co

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

More Information About densenet_tte huggingface.co Model

More densenet_tte license Visit here:

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

densenet_tte huggingface.co

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

densenet_tte huggingface.co Url

https://huggingface.co/StanfordShahLab/densenet_tte

StanfordShahLab densenet_tte online free

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

StanfordShahLab densenet_tte online free url in huggingface.co:

https://huggingface.co/StanfordShahLab/densenet_tte

densenet_tte install

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

densenet_tte install url in huggingface.co:

https://huggingface.co/StanfordShahLab/densenet_tte

Url of densenet_tte

Provider of densenet_tte huggingface.co

StanfordShahLab
ORGANIZATIONS
huggingface.co

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