Same sentence produces a different vector in XLNet

amansrivastava17 / embedding-as-service

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

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Same sentence produces a different vector in XLNet #63

Open anoopkdcs opened 3 years ago

anoopkdcs commented 3 years ago

While running the same sentence using 'XLNet' and 'xlnet_base_cased', the model produces different embeddings. for example; if vec1 = en.encode(texts=['he is anger'],pooling='reduce_mean') vec2 = en.encode(texts=['he is anger'],pooling='reduce_mean') both the vec1 and vec2 have different embedding vectors.