Word2VecModel load and save cause SparkException when model is bigger than spark.kryoserializer.buffer.max

When loading a Word2VecModel of compressed size 58Mb using the Word2VecModel.load() method introduced in Spark 1.4.0 I get a `org.apache.spark.SparkException: Kryo serialization failed: Buffer overflow. Available: 0, required: 2` exception.
This happens because the model is saved as a unique file with no partitioning and the kryo buffer overflows when tries to serialize it all.
Increasing `spark.kryoserializer.buffer.max` works as a temporary solution but needs to increased again whenever we increase the model size.