Description
Pretrained RoBERTa Embeddings model for Spanish Language, trained within the Bertin project. Other non-base Bertin models can be found here. The model was uploaded to Hugging Face, adapted and imported into Spark NLP. bertin-roberta-base-spanish
is a Spanish model orginally trained by bertin-project
.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols("document") \
.setOutputCol("token")
embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_bertin_roberta_base_spanish","es") \
.setInputCols(["document", "token"]) \
.setOutputCol("embeddings")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, embeddings])
data = spark.createDataFrame([["Me encanta chispa nlp"]]).toDF("text")
result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val tokenizer = new Tokenizer()
.setInputCols(Array("document"))
.setOutputCol("token")
val embeddings = RoBertaEmbeddings.pretrained("roberta_embeddings_bertin_roberta_base_spanish","es")
.setInputCols(Array("document", "token"))
.setOutputCol("embeddings")
val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, embeddings))
val data = Seq("Me encanta chispa nlp").toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("es.embed.bertin_roberta_base_spanish").predict("""Me encanta chispa nlp""")
Model Information
Model Name: | roberta_embeddings_bertin_roberta_base_spanish |
Compatibility: | Spark NLP 3.4.2+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [sentence, token] |
Output Labels: | [bert] |
Language: | es |
Size: | 234.7 MB |
Case sensitive: | true |
References
- https://huggingface.co/bertin-project/bertin-roberta-base-spanish
- https://github.com/google/flax
- https://en.wikipedia.org/wiki/List_of_languages_by_total_number_of_speakers
- https://arxiv.org/pdf/2107.07253.pdf
- https://arxiv.org/abs/1907.11692
- https://www.wired.com/2017/04/courts-using-ai-sentence-criminals-must-stop-now/
- https://www.washingtonpost.com/technology/2019/05/16/police-have-used-celebrity-lookalikes-distorted-images-boost-facial-recognition-results-research-finds/
- https://www.wired.com/story/ai-college-exam-proctors-surveillance/
- https://www.eff.org/deeplinks/2020/09/students-are-pushing-back-against-proctoring-surveillance-apps
- https://www.washingtonpost.com/technology/2019/10/22/ai-hiring-face-scanning-algorithm-increasingly-decides-whether-you-deserve-job/
- https://www.technologyreview.com/2021/07/21/1029860/disability-rights-employment-discrimination-ai-hiring/
- https://www.insider.com/china-is-testing-ai-recognition-on-the-uighurs-bbc-2021-5
- https://www.health.harvard.edu/blog/anti-asian-racism-breaking-through-stereotypes-and-silence-2021041522414
- https://discord.com/channels/858019234139602994/859113060068229190