Github user AnthonyTruchet commented on the issue:
https://github.com/apache/spark/pull/14299
For the "normal failure case", the one we encounter is that when the
vocabulary is too small the embedding learning raises. And it is pretty
legitimate in our use cases to have some "too small vocabularies".
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