Instructions to use flair/ner-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use flair/ner-english with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("flair/ner-english") - Notebooks
- Google Colab
- Kaggle
new version of English NER
Browse files- loss.tsv +149 -113
- pytorch_model.bin +2 -2
- training.log +0 -0
loss.tsv
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EPOCH TIMESTAMP BAD_EPOCHS LEARNING_RATE TRAIN_LOSS
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EPOCH TIMESTAMP BAD_EPOCHS LEARNING_RATE TRAIN_LOSS
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1 15:38:16 0 0.1000 3.2508978927625884
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2 15:39:44 0 0.1000 1.4551565493398075
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bbf61b45d06a42fb8e12e316252609158b6dce33dc2deddcc3889dbc0627698
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size 432176557
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training.log
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