# Hugging Face Transformers v2.6.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v2.6.0
- **Released:** Mar 24, 2020
- **Impact Score:** 5/10
- **Breaking Changes:** Not verified
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v2.6.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v2.6.0. Source highlight: New Model: BART (added by @sshleifer)

## New Features
- `bart-large`: the pretrained base model
- `bart-large-cnn`: the base model finetuned on the CNN/Daily Mail Abstractive Summarization Task
- `bart-large-mnli`: the base model finetuned on the MNLI classification task.
- paper
- model pages are at https://huggingface.co/facebook
- docs

## Improvements
- Special token IDs logic were improved in run_generation and in corresponding tests.

## Bug Fixes
- Added a warning when using `add_special_tokens` with the fast tokenizer methods of encoding (@LysandreJik)
- `encode_plus` was modified and tested to have the exact same behaviour as `encode`, but batches input
- Cleanup DistilBERT code (@guillaume-be)
- Only use `F.gelu` for torch >= 1.4.0 (@sshleifer)
- Added a `get_vocab` method to tokenizers, which can be used to retrieve all the vocabulary from the tokenizers. (@joeddav)
- Correct behaviour of `special_tokens_mask` when `add_special_tokens=False` (@LysandreJik)

## Upgrade Command
```bash
python -m pip install 'transformers==2.6.0'
```