Description
Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.llm_bert_model_based_skills_extraction_from_jobdescription_pipeline is a English model originally trained by GalalEwida.
How to use
pipeline = PretrainedPipeline("llm_bert_model_based_skills_extraction_from_jobdescription_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("llm_bert_model_based_skills_extraction_from_jobdescription_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | llm_bert_model_based_skills_extraction_from_jobdescription_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 247.3 MB |
References
https://huggingface.co/GalalEwida/LLM-BERT-Model-Based-Skills-Extraction-from-jobdescription
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForTokenClassification