# Hugging Face Transformers v2.2.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v2.2.0
- **Released:** Nov 26, 2019
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v2.2.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v2.2.0. Source highlight: New model architectures: ALBERT, CamemBERT, GPT2-XL, DistilRoberta

## Breaking Changes & Deprecations
- Breaking changes __Tokenizers now add special tokens by default.__ @LysandreJik

## New Features
- CamemBERT (Pytorch)  (from Facebook AI Research, INRIA, and La Sorbonne Université), as the first large-scale Transformer language model. Released alongside the paper CamemBERT: a Tasty French Language Model by Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suarez, Yoann Dupont, Laurent Romary,  Eric Villemonte de la Clergerie, Djame Seddah, and Benoît Sagot. It was added by @louismartin with the help of @julien-c.

## Bug Fixes
- The Fairseq RoBERTa model conversion script has been patched. @louismartin
- einsum now runs in FP-16 in the library's examples @slayton58
- In-depth work on the squad script for XLNet to reproduce the original paper's results @hlums
- Additional improvements on the run_squad script by @WilliamTambellini, @orena1
- The run_generation script has seen several improvements
- The RoBERTaTensorFlow model has been patched for several use-cases: TPU and keras.fit @LysandreJik

## Upgrade Command
```bash
python -m pip install 'transformers==2.2.0'
```