Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.chemberta_masked_30_pubchem_shard00_1m_150k_steps_pipeline is a English model originally trained by seyonec.
How to use
pipeline = PretrainedPipeline("chemberta_masked_30_pubchem_shard00_1m_150k_steps_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("chemberta_masked_30_pubchem_shard00_1m_150k_steps_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | chemberta_masked_30_pubchem_shard00_1m_150k_steps_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 310.2 MB |
References
https://huggingface.co/seyonec/ChemBERTa_masked_30_PubChem_shard00_1M_150k_steps
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings