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Deep learning

Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

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transformers
patrickvonplaten
patrickvonplaten commented Mar 21, 2022

This issue is part of our Doc Test Sprint. If you're interested in helping out come join us on Discord and talk with other contributors!

Docstring examples are often the first point of contact when trying out a new library! So far we haven't done a very good job at ensuring that all docstring examples work correctly in 🤗 Transformers - but we're now very

Logigo
Logigo commented Mar 24, 2022

https://github.com/pytorch/pytorch/blob/9270bccaf67022042f42b57b97c7b630b1e05750/torch/utils/data/sampler.py#L86

The optional argument 'num_samples' to the RandomSampler class is listed as type Optional[int], but it is not optional, as an exception is raised if an int is not passed in:

https://github.com/pytorch/pytorch/blob/9270bccaf67022042f42b57b97c7b630b1e05750/torch/utils/data/sampler.p

good first issue module: typing triaged

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Mar 26, 2022
  • Python
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