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Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.9d32789
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Verified signature# body_type This is fine-tuned [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50). It is fine-tuned on a dataset containing men of different body complexion ### Intended Use: The model is intended for image classification tasks specifically related to men's body types. It is designed to classify images into four categories based on body complexion: skinny, ordinary, overweight, and very muscular. The model can be utilized in applications such as: * Health and fitness platforms for body type analysis * Clothing recommendation systems tailored for different body types * Visual content moderation systems to filter images based on body type ### How to launch ```python import torch from PIL import Image from transformers import ResNetForImageClassification, AutoImageProcessor processor = AutoImageProcessor.from_pretrained("glazzova/body_type") model = ResNetForImageClassification.from_pretrained('glazzova/body_type') image = Image.open('your_pic.jpeg') inputs = processo…95b38ac -
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Verified signature# body_complexion This is fine-tuned [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50). It is fine-tuned on a dataset containing men with different body complexion. ### Intended Use: The model is intended for image classification tasks specifically related to men's body types. It is designed to classify images into four categories based on body complexion: skinny, ordinary, overweight, and very muscular. The model can be utilized in applications such as: Health and fitness platforms for body type analysis Clothing recommendation systems tailored for different body types Visual content moderation systems to filter images based on body type ### How to load this model ```python import torch from PIL import Image from transformers import ResNetForImageClassification, AutoImageProcessor processor = AutoImageProcessor.from_pretrained("glazzova/body_complexion") model = ResNetForImageClassification.from_pretrained('glazzova/body_complexion') image = Image.open('your_pic.j…3e63df4 -
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