Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.fart_pubchem10m_smiles_bpe_396_250_nw_pipeline is a English model originally trained by FartLabs.
How to use
pipeline = PretrainedPipeline("fart_pubchem10m_smiles_bpe_396_250_nw_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("fart_pubchem10m_smiles_bpe_396_250_nw_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | fart_pubchem10m_smiles_bpe_396_250_nw_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 313.2 MB |
References
https://huggingface.co/FartLabs/FART_PubChem10M_SMILES_BPE_396_250_NW
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification