Description
Pretrained GPT2Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ov_gpt2_fp32_kv_cache_pipeline is a English model originally trained by vuiseng9.
How to use
pipeline = PretrainedPipeline("ov_gpt2_fp32_kv_cache_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ov_gpt2_fp32_kv_cache_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ov_gpt2_fp32_kv_cache_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 611.4 MB |
References
https://huggingface.co/vuiseng9/ov-gpt2-fp32-kv-cache
Included Models
- DocumentAssembler
- GPT2Transformer