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German NER model

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  1. README.md +40 -0
  2. loss.tsv +129 -0
  3. pytorch_model.bin +3 -0
  4. test.tsv +0 -0
  5. training.log +0 -0
README.md ADDED
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+ ---
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+ tags:
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+ - flair
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+ - token-classification
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+ - sequence-tagger-model
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+ language: en
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+ datasets:
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+ - conll2003
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+ inference: false
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+ ---
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+
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+ ## Flair NER model `en-ner-conll03-v0.4.pt`
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+
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+ Imported from https://nlp.informatik.hu-berlin.de/resources/models/ner/
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+
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+ ### Demo: How to use in Flair
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+
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+ ```python
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+ from flair.data import Sentence
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+ from flair.models import SequenceTagger
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+
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+ sentence = Sentence(
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+ "My name is Julien, I currently live in Paris, I work at Hugging Face, Inc."
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+ )
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+
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+ tagger = SequenceTagger.load("julien-c/flair-ner")
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+
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+
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+ # predict NER tags
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+ tagger.predict(sentence)
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+
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+ # print sentence with predicted tags
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+ print(sentence.to_tagged_string())
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+
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+
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+ ```
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+
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+ yields the following output:
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+
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+ > `My name is Julien <S-PER> , I currently live in Paris <S-LOC> , I work at Hugging <B-LOC> Face <E-LOC> .`
loss.tsv ADDED
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+ EPOCH TIMESTAMP BAD_EPOCHS LEARNING_RATE TRAIN_LOSS
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+ 0 12:34:58 0 0.1000 2.6697971262264444
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+ 2 12:37:50 0 0.1000 1.02899414044002
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+ 3 12:39:16 0 0.1000 0.918058885884817
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+ 4 12:40:42 0 0.1000 0.8248108597906801
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+ 5 12:42:09 0 0.1000 0.7446828568562049
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+ 6 12:43:36 0 0.1000 0.7093469828488135
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+ 7 12:45:02 0 0.1000 0.6563368487430634
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+ 8 12:46:29 0 0.1000 0.6374865520979763
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+ 9 12:47:55 0 0.1000 0.5986359719088789
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+ 10 12:49:21 0 0.1000 0.5703079191775158
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+ 11 12:50:46 0 0.1000 0.5344291963212147
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+ 12 12:52:12 0 0.1000 0.5079606146708463
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+ 13 12:53:38 0 0.1000 0.5054718506565926
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pytorch_model.bin ADDED
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+ oid sha256:96c7ffe5b2c659eb32a40e2f100516936a2b6b7622557c9e5632171e2ab6d3d1
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+ size 1512392120
test.tsv ADDED
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training.log ADDED
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