wt_predict_labels_ner_german_large: Perform NER using flair/ner-german-large
In balthasars/wrappingtransformers: Wrappers for some transformers models
Description
Usage
Arguments
See Also
Examples
View source: R/ner_german_large.R
Description
wt_predict_labels_ner_german_large returns a tidy data frame
of tokens classified as named entities including probabilities.
Usage
1
wt_predict_labels_ner_german_large(sentence)
Arguments
sentence
A character vector with a sentence compatible with the model.
See Also
https://huggingface.co/flair/ner-german-large for
further information about this model.
Examples
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## Not run:
wt_load_model("ner-german-large")
# example sentence
sentence_example <- "Santesuisse und Curaviva fordern eine Umverteilung"
# get predictions
wt_predict_labels_ner_german_large(sentence = sentence_example)
## End(Not run)
balthasars/wrappingtransformers documentation built on Dec. 19, 2021, 6:41 a.m.
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Description Usage Arguments See Also Examples
View source: R/ner_german_large.R
Description
wt_predict_labels_ner_german_large returns a tidy data frame
of tokens classified as named entities including probabilities.
Usage
1 | wt_predict_labels_ner_german_large(sentence)
|
Arguments
sentence |
A character vector with a sentence compatible with the model. |
See Also
https://huggingface.co/flair/ner-german-large for further information about this model.
Examples
1 2 3 4 5 6 7 8 | ## Not run:
wt_load_model("ner-german-large")
# example sentence
sentence_example <- "Santesuisse und Curaviva fordern eine Umverteilung"
# get predictions
wt_predict_labels_ner_german_large(sentence = sentence_example)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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