# Hugging Face Transformers v2.3.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v2.3.0
- **Released:** Dec 20, 2019
- **Impact Score:** 5/10
- **Breaking Changes:** Not verified
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v2.3.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v2.3.0. Source highlight: New class `Pipeline` (beta): easily run and use models on down-stream NLP tasks

## New Features
- feature extraction (can be used with any pretrained and finetuned models)
- it was made to work with only a few models (BERT, XLNet, XLM and DistilBERT), which had three different ways of encoding sequences. The script had to be individually modified in order to train different models, which would not scale as other models are added to the library.
- ALBERT was added to the SQuAD script

## Bug Fixes
- Added mish activation function @digantamisra98
- `run_bertology.py` was updated with correct imports and the ability to overwrite the cache
- Training can be exited and relaunched safely, while keeping the epochs, global steps, scheduler steps and other variables in `run_lm_finetuning.py` @bkkaggle
- Tests now run on cuda @aaugustin @julien-c
- Cleaned up the pytorch to tf conversion script @thomwolf
- Progress indicator improvements when downloading pre-trained models @leopd

## Upgrade Command
```bash
python -m pip install 'transformers==2.3.0'
```