# Hugging Face Transformers v0.2.0 — Release & Upgrade Intelligence
- **Product:** Hugging Face Transformers (https://huggingface.co)
- **Version:** v0.2.0
- **Released:** Nov 26, 2018
- **Impact Score:** 5/10
- **Breaking Changes:** Not verified
- **Canonical Analysis:** https://changelogs.us/transformers/updates/v0.2.0/

## Executive Summary (TL;DR)
Hugging Face Transformers v0.2.0. Source highlight: Added a `cache_dir` option to `from_pretrained()` function to select a specific path to download and cache the pre-trained model weights. Useful for distributed training (see readme) (fix issue #44).

## Bug Fixes
- Added a `cache_dir` option to `from_pretrained()` function to select a specific path to download and cache the pre-trained model weights. Useful for distributed training (see readme) (fix issue #44).
- Fixed error in CrossEntropyLoss reshaping (issue #55).
- Fixed unicode error in vocabulary loading (issue #52).
- Fix weight decay in examples (previously bias and layer norm weights were also decayed due to an erroneous check in training loop).
- Fix fp16 grad norm is None error in examples (issue #43).

## Upgrade Command
```bash
python -m pip install 'transformers==0.2.0'
```