Resnet101 FP16 Ov
Model creator: torchvision Original model: resnet101
Modellquelle
- Art
- Other
- Dateigröße
- 84,9 MB
- Version
- vRevision a1f1946
- Aktualisiert
- 22. Sept. 2026
- Downloads
- 8
- Quelle
- Hugging Face
Quellenbeschreibung
resnet101-fp16-ov
- Model creator: torchvision
- Original model: resnet101
Description
This is a torchvision version of resnet101 model converted to the OpenVINOTM IR (Intermediate Representation) format with weights compressed to FP16.
Compatibility
The provided OpenVINOTM IR model is compatible with:
- OpenVINO version 2026.1.0 and higher
- Model API 0.4.0 and higher
Running Model Inference with Model API
- Install required packages:
pip install openvino-model-api[huggingface]
- Run model inference:
import cv2
from model_api.models import Model
from model_api.visualizer import Visualizer
# 1. Load model
model = Model.from_pretrained("OpenVINO/resnet101-fp16-ov")
# 2. Load image
image = cv2.imread("image.jpg")
# 3. Run inference
result = model(image)
# 4. Visualize and save results
vis = Visualizer().render(image, result)
cv2.imwrite("output.jpg", vis)
For more examples and possible optimizations, refer to the Model API Documentation.
Limitations
Check the original model implementation for limitations.
Legal information
The original model is distributed under the BSD-3-Clause license. More details can be found in https://github.com/pytorch/vision.
Disclaimer
Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 26. Aug.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- license: bsd-3-clause tags: - image-classification - vision --- # resnet101-fp16-ov - Model creator: [torchvision](https://github.com/pytorch/vision) - Original model: [resnet101](https://docs.pytorch.org/vision/main/models/generated/torchvision.models.resnet101.html) ## Description This is a torchvision version of [resnet101](https://docs.pytorch.org/vision/main/models/generated/torchvision.models.resnet101.html) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16. ## Compatibility The provided OpenVINO™ IR model is compatible with: - OpenVINO version 2026.1.0 and higher - Model API 0.4.0 and higher ## Running Model Inference with [Model API](https://github.com/open-edge-platform/model_api) 1. Install required packages: ```sh pip install openvino-model-api[huggingface] ``` <!-- markdownlint-disable MD029 --> 2. Run model inference: ```python import cv2 from model_api.models import Model from model_api.visualizer import Visualizer # 1. Load model model = Model.from_pretrained("OpenVINO/resnet101-fp16-ov") # 2. Load image image = cv2.imread("image.jpg") # 3. Run inference result = model(image) # 4. Visualize and save results vis = Visualizer().render(image, result) cv2.imwrite("output.jpg", vis) ``` For more examples and possible optimizations, refer to the [Model API Documentation](https://open-edge-platform.github.io/model_api/latest/). ## Limitations Check the [original model implementation](https://github.com/pytorch/vision) for limitations. ## Legal information The original model is distributed under the [BSD-3-Clause](https://spdx.org/licenses/BSD-3-Clause.html) license. More details can be found in [https://github.com/pytorch/vision](https://github.com/pytorch/vision). ## Disclaimer Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
Source context: 8 downloads · 0 likes · Pipeline image-classification · Repo OpenVINO/resnet101-fp16-ov
