Description
Pretrained GPT2Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.medical_data_question_answers_finetuned_gpt2_pipeline is a English model originally trained by maheshhuggingface.
How to use
pipeline = PretrainedPipeline("medical_data_question_answers_finetuned_gpt2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("medical_data_question_answers_finetuned_gpt2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | medical_data_question_answers_finetuned_gpt2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 467.8 MB |
References
https://huggingface.co/maheshhuggingface/Medical-Data-Question-Answers-finetuned-gpt2
Included Models
- DocumentAssembler
- GPT2Transformer