# Hugging Face Transformers v2.11.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v2.11.0
- **Released:** Jun 02, 2020
- **Impact Score:** 7/10
- **Breaking Changes:** Source flagged
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v2.11.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v2.11.0. Source highlight: Longformer (@ibeltagy)

## Breaking Changes & Deprecations
- ⚠️ This PR is breaking for the following models: BART, Flaubert, bert-japanese, bert-base-finnish, bert-base-dutch. ⚠️
- Update: ⚠️ This PR is also breaking for ALBERT from Tensorflow. See issue #4806 for discussion and resolution ⚠️

## Improvements
- A step-by-step guide to tracking hugging face model performance with wandb (@jxmorris12, @lavanyashukla)

## Bug Fixes
- Fix longformer attention mask type casting when using APEX (@peskotivesgeroff)
- Fix convert_token_type_ids_from_sequences for fast tokenizers (@n1t0, #4503)
- Fixed the default tokenizer of the summarization pipeline (@sshleifer, #4506)
- The `max_len` attribute is now more robust, and warns the user about deprecation (@mfuntowicz, #4528)
- Added type hints to `modeling_utils.py` (@bglearning, #3911)
- MMBT model now has `nn.Module` as a superclass (@shoarora, #4533)

## Upgrade Command
```bash
python -m pip install 'transformers==2.11.0'
```