# Hugging Face Transformers v0.6.2 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v0.6.2
- **Released:** Apr 25, 2019
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v0.6.2/

## Executive Summary (TL;DR)
Hugging Face Transformers v0.6.2. Source highlight: Better serialization for all models and tokenizers (BERT, GPT, GPT-2 and Transformer-XL) with best practices for saving/loading in readme and examples.

## Breaking Changes & Deprecations
- Breaking changes: - `warmup_linear` method in `OpenAIAdam` and `BertAdam` is now replaced by flexible [schedule classes](https://github.com/huggingface/pytorch-pretrained-BERT#learning-rate-schedules) for linear, cosine and multi-cycles schedules.

## New Features
- Add BERT language model fine-tuning scripts (@Rocketknight1)
- Added SST-2 task and remaining GLUE tasks to 'run_classifier.py' (@ananyahjha93, @jplehmann)

## Bug Fixes
- add a flag in BertTokenizer to skip basic tokenization (@john-hewitt)
- Allow tokenization of sequences > 512 (@CatalinVoss)
- clean up and extend learning rate schedules in BertAdam and OpenAIAdam (@lukovnikov)
- Update GPT/GPT-2 Loss computation (@CatalinVoss, @thomwolf)
- Make the TensorFlow conversion tool more robust (@marpaia)
- fixed BertForMultipleChoice model init and forward pass (@dhpollack)

## Upgrade Command
```bash
python -m pip install 'transformers==0.6.2'
```