Avoid Cache For Model Upload API

A small improvement to the deploy() function by avoiding caching for an API ensuring we are operating on the most up to date data.

v1.0.1

Added support for more model deploy types. Supported types are:

• YOLOv5 Object Detection
• YOLOv5 Instance Segmentation
• YOLOv7 Instance Segmentation
• YOLOv8 Object Detection
• YOLOv8 Instance Segmentation
• YOLOv8 Classification

v1.0.0

In this PR we release a few new top level methods:

.login()
.load_model()

And a cool new model method:

.webcam()

.login() will make life a lot easier, and we'll be working to propagate it throughout out docs + tutorials.

Cheers,
Team Roboflow

v0.2.34

We removed the test pypi publish from our publish action, as we often do that manually ahead of time

0.2.33

We fixed a bug with classification inference response decoding from the new Roboflow Inference server

0.2.32

• fix bug in download version for datasets that don't have a data.yaml file or when the project url
• fix bug in upload annotation function when project url is different than the project name

0.2.31

Added support for uploading classification annotation file names in the __annotation_upload() function. See PR: #116

Multiple feature upgrades Feb 17 2023.

Key features upgraded in this release:

• Fixes Yolov8 data loader (#113)
• Image tag upload support (#114)
• Support for Yolov7 model upload for segmentation (#111)
• Sequence number ordering upload support (#115)

0.2.29

• fix version conversion number in util.version
• better error messages when downloading a dataset
• additional check for ultralytics when downloading an exported dataset

0.2.28

In this release, we provide support for YOLOv5 external model uploads to Roboflow Deploy 🚀