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Love seeing these powerful, production libraries be as easy to install as `pip install blingfire`. They've even included a token-based classifier demo in Jupyte
by danso 8y ago
Love seeing these powerful, production libraries be as easy to install as `pip install blingfire`. They've even included a token-based classifier demo in Jupyter Notebook:
https://github.com/Microsoft/BlingFire/blob/master/doc/Bling%20Fire%20Tokenizer%20Demo.ipynb https://github.com/Microsoft/BlingFire/blob/master/doc/Bling...
- ShadowBannedUsr 8y agoYes, indeed, although Tensorflow and Pytorch have a long way to go before their GPU versions are equally easy to install. Their GPU versions are currently incredibly hard to install correctly, even on Linux. Some users just give up and use prebuilt containers that although good good for production code, can be hard to develop with.
- solomatov 8y agoPytorch install without any problem for quite a long time (they have a whl with all libraries included). This can't be said about tensorflow unfortunately.
- ctoth 8y agoOn Windows, in order to get Torch I need to use Anaconda.
- ctoth 8y agoYour name leaked from an identifier to a property of your account in my head and I actually thought this was a dead comment. Weird.
- ShadowBannedUsr 8y agoThis is unrelated, but you should see the potential that this holds for blind people: https://arxiv.org/abs/1901.02527 https://arxiv.org/abs/1901.02527
- skwb 8y agoIn my own experience, I've found it much easier to install tensorflow with GPU support from scratch (including cuDNN...) than it is to install Spark/Hadoop.
- bravura 8y agoAnd running a marathon is easier than doing Iron Man, but neither of them is a walk in the park.
- ChrisFoster 8y agoThis has been vastly improved fairly recently with the advent of the tensorflow-gpu meta package available via conda. See https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc https://towardsdatascience.com/tensorflow-gpu-installation-m...