| title | order | snippet | summary-home | featured-home |
|---|---|---|---|---|
TorchServe |
2 |
```python
## Convert the model from PyTorch to TorchServe format
torch-model-archiver --model-name densenet161 \
--version 1.0 --model-file serve/examples/image_classifier/densenet_161/model.py \
--serialized-file densenet161-8d451a50.pth \
--extra-files serve/examples/image_classifier/index_to_name.json \
--handler image_classifier
## Host your PyTorch model
torchserve --start --model-store model_store --models densenet161=densenet161.mar
```
|
TorchServe is an easy to use tool for deploying PyTorch models at scale. It is cloud and environment agnostic and supports features such as multi-model serving, logging, metrics and the creation of RESTful endpoints for application integration. |
false |
TorchServe is an easy to use tool for deploying PyTorch models at scale. It is cloud and environment agnostic and supports features such as multi-model serving, logging, metrics and the creation of RESTful endpoints for application integration.