# Hugging Face — Hugging Face's TensorFlow Philosophy

- Company: Hugging Face (huggingface.co)
- Announced: 2022-08-12
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/tensorflow-philosophy
- Record: https://forck.live/items/2165-hugging-face-s-tensorflow-philosophy
- Subject: Platform
- Models affected: bert-base-cased, google/vit-base-patch16-224

Hugging Face's philosophy for supporting TensorFlow in the transformers library, emphasizing that all TensorFlow models should be Keras Model objects and layers should be Keras Layer objects, and demonstrates how to load pretrained models and tokenizers.

## Evidence

Verbatim from https://huggingface.co/blog/tensorflow-philosophy:

> Philosophy #1: All TensorFlow models should be Keras Model objects, and all TensorFlow layers should be Keras Layer objects.

---

Record: https://forck.live/items/2165-hugging-face-s-tensorflow-philosophy
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md