Description
Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.albert_base_v2_weighted_hoax_classifier_definition_pipeline is a English model originally trained by research-dump.
How to use
pipeline = PretrainedPipeline("albert_base_v2_weighted_hoax_classifier_definition_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("albert_base_v2_weighted_hoax_classifier_definition_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | albert_base_v2_weighted_hoax_classifier_definition_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 44.2 MB |
References
https://huggingface.co/research-dump/albert-base-v2_weighted_hoax_classifier_definition
Included Models
- DocumentAssembler
- TokenizerModel
- AlbertForSequenceClassification