The request names 'squeezebert', a SqueezeBERT model, which is a transformer architecture rather than a software product, so no product page here documents it directly. The closest real fit is Sentence Transformers (sbert.net), a Python library for computing embeddings and training transformer models 4, with Hugging Face-style model loading implied by its docs; a question about the intended platform or framework follows.

A question back: Do you want to load or run this model from Hugging Face in Python with PyTorch, or do you need a different framework or platform?

1. 1

   SentenceTransformers Documentationsbert.netverified and signed

   Python module for computing embeddings and training transformer models from text, images, audio, or video, the closest match to working with a small BERT-family model 414.

   WebsiteDocs

   official:SDK · sentence-transformers+24 community tools built for it

   for agents: BERT · XLNet · Transformer

2. 2

   PyTorchpytorch.orgverified and signed

   Open source deep learning framework from the PyTorch Foundation, used to build and run transformer models 8.

   WebsiteDocsGet started

   +13 community tools built for it

   for agents: export · implement · triaging-issues