Introduction of bert-base-swedish-lowermix-reallysimple-ner
Model Details of bert-base-swedish-lowermix-reallysimple-ner
KB-BERT for NER
Mixed cased and uncased data
This model is based on
KB-BERT
and was fine-tuned on the
SUCX 3.0 - NER
corpus, using the
simple
tags and partially lowercased data.
For this model we used a variation of the data that did
not
use BIO-encoding to differentiate between the beginnings (B), and insides (I) of named entity tags.
The model was trained on the training data only, with the best model chosen by its performance on the validation data.
You find more information about the model and the performance on our blog:
https://kb-labb.github.io/posts/2022-02-07-sucx3_ner
Runs of KBLab bert-base-swedish-lowermix-reallysimple-ner on huggingface.co
560
Total runs
-317
24-hour runs
-329
3-day runs
-4.2K
7-day runs
-3.6K
30-day runs
More Information About bert-base-swedish-lowermix-reallysimple-ner huggingface.co Model
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bert-base-swedish-lowermix-reallysimple-ner is an open source model from GitHub that offers a free installation service, and any user can find bert-base-swedish-lowermix-reallysimple-ner on GitHub to install. At the same time, huggingface.co provides the effect of bert-base-swedish-lowermix-reallysimple-ner install, users can directly use bert-base-swedish-lowermix-reallysimple-ner installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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