Description
Pretrained GPT2Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.concretegpt_124m_128ctx_strict_small_mixed_bins_pipeline is a English model originally trained by colinglab.
How to use
pipeline = PretrainedPipeline("concretegpt_124m_128ctx_strict_small_mixed_bins_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("concretegpt_124m_128ctx_strict_small_mixed_bins_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | concretegpt_124m_128ctx_strict_small_mixed_bins_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 609.8 MB |
References
https://huggingface.co/colinglab/ConcreteGPT-124M-128ctx-Strict-Small-mixed_bins
Included Models
- DocumentAssembler
- GPT2Transformer