The
multiner
is a Named Entity Recognition (NER) model for the Catalan language fine-tuned from the [BERTa] model, a
RoBERTa
base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the BERTa model card for more details).
It has been trained with a dataset that contains 9 main types and 52 subtypes on all kinds of short texts, with almost 59K documents.
Intended uses and limitations
How to use
from transformers import pipeline
pipe = pipeline("ner", model="projecte-aina/multiner_ceil")
example = "George Smith Patton fué un general del Ejército de los Estados Unidos en Europa durante la Segunda Guerra Mundial. "
ner_entity_results = pipe(example, aggregation_strategy="simple")
print(ner_entity_results)
Limitations and bias
At the time of submission, no measures have been taken to estimate the bias embedded in the model. However, we are well aware that our models may be biased since the corpora have been collected using crawling techniques on multiple web sources. We intend to conduct research in these areas in the future, and if completed, this model card will be updated.
This work/research has been promoted and financed by the Government of Catalonia through the
Aina project
.
Citation information
Disclaimer
Click to expand
The models published in this repository are intended for a generalist purpose and are available to third parties. These models may have bias and/or any other undesirable distortions.
When third parties, deploy or provide systems and/or services to other parties using any of these models (or using systems based on these models) or become users of the models, they should note that it is their responsibility to mitigate the risks arising from their use and, in any event, to comply with applicable regulations, including regulations regarding the use of Artificial Intelligence.
In no event shall the owner and creator of the models (BSC – Barcelona Supercomputing Center) be liable for any results arising from the use made by third parties of these models.
Runs of projecte-aina multiner_ceil on huggingface.co
40
Total runs
1
24-hour runs
-1
3-day runs
-4
7-day runs
4
30-day runs
More Information About multiner_ceil huggingface.co Model
multiner_ceil huggingface.co is an AI model on huggingface.co that provides multiner_ceil's model effect (), which can be used instantly with this projecte-aina multiner_ceil model. huggingface.co supports a free trial of the multiner_ceil model, and also provides paid use of the multiner_ceil. Support call multiner_ceil model through api, including Node.js, Python, http.
multiner_ceil huggingface.co is an online trial and call api platform, which integrates multiner_ceil's modeling effects, including api services, and provides a free online trial of multiner_ceil, you can try multiner_ceil online for free by clicking the link below.
projecte-aina multiner_ceil online free url in huggingface.co:
multiner_ceil is an open source model from GitHub that offers a free installation service, and any user can find multiner_ceil on GitHub to install. At the same time, huggingface.co provides the effect of multiner_ceil install, users can directly use multiner_ceil installed effect in huggingface.co for debugging and trial. It also supports api for free installation.