readme: ---
  license: apache-2.0
  tags:
  - vision
  - seer
  ---
  
  ## RegNetY 10B
  
  This gigantic model is a scale up [RegNetY](https://arxiv.org/abs/2003.13678) model trained on one billion uncurated Instagram images.
  
  Disclaimer: The team releasing RegNetModel did not write a model card for this model so this model card has been written by the Hugging Face team.
  
  ## Intended uses & limitations
  
  You can use the raw model for image classification. See the [model hub](https://huggingface.co/models?search=regnet) to look for
  fine-tuned versions on a task that interests you.
  
  ### How to use
  
  Here is how to use this model:
  
  ```python
  >>> from transformers import AutoFeatureExtractor, RegNetModel
  >>> import torch
  >>> from datasets import load_dataset
  
  >>> dataset = load_dataset("huggingface/cats-image")
  >>> image = dataset["test"]["image"][0]
  
  >>> feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/regnet-y-10b-seer")
  >>> model = RegNetModel.from_pretrained("facebook/regnet-y-10b-seer")
  
  >>> inputs = feature_extractor(image, return_tensors="pt")
  
  >>> with torch.no_grad():
  ...     outputs = model(**inputs)
  
  >>> last_hidden_states = outputs.last_hidden_state
  >>> list(last_hidden_states.shape)
  [1, 1088, 7, 7]
  ```
  
  For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/regnet).