81a1b23e699abb4bdcd2156d6cdd0487ba4105c9,train.py,,,#,16
Before Change
print(tag_dictionary.idx2item)
// initialize embeddings
embedding_types: List[TokenEmbeddings] = [
WordEmbeddings("glove"),
// comment in this line to use character embeddings
// CharacterEmbeddings(),
// comment in these lines to use contextual string embeddings
//
// FlairEmbeddings("news-forward"),
//
// FlairEmbeddings("news-backward"),
]
embeddings: StackedEmbeddings = StackedEmbeddings(embeddings=embedding_types)
// initialize sequence tagger
After Change
print(tag_dictionary.idx2item)
// initialize embeddings
embedding_types: List[TokenEmbeddings] = [
BytePairEmbeddings("en"),
]
embeddings: StackedEmbeddings = StackedEmbeddings(embeddings=embedding_types)
// initialize sequence tagger
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: zalandoresearch/flair
Commit Name: 81a1b23e699abb4bdcd2156d6cdd0487ba4105c9
Time: 2020-08-12
Author: alan.akbik@gmail.com
File Name: train.py
Class Name:
Method Name:
Project Name: zalandoresearch/flair
Commit Name: 16314f04496455b4b5170ba0a7774a0150b07ef9
Time: 2020-06-05
Author: jonas.golde@gmail.com
File Name: train_keyword.py
Class Name:
Method Name:
Project Name: zalandoresearch/flair
Commit Name: 8e70d49e003bec14e2abd771d65395bea8268791
Time: 2020-06-02
Author: jonas.golde@gmail.com
File Name: train_keyword.py
Class Name:
Method Name: