Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.stud_fac_eval_distilbert_base_uncased_v2_pipeline is a Tagalog model originally trained by MENG21.
How to use
pipeline = PretrainedPipeline("stud_fac_eval_distilbert_base_uncased_v2_pipeline", lang = "tl")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("stud_fac_eval_distilbert_base_uncased_v2_pipeline", lang = "tl")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | stud_fac_eval_distilbert_base_uncased_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tl |
| Size: | 249.5 MB |
References
https://huggingface.co/MENG21/stud-fac-eval-distilbert-base-uncased_v2
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification