Related Issues (20)
- Unclear in general how to use classification models requiring sentence pairs
- ONNX models crash when they are used in Colab's T4 GPU runtime HOT 3
- No Operation named [init_all_tables] in the Graph when using GPT2Transformer HOT 4
- NER pipeline Not scaling up to use the full cluster nodes HOT 3
- Unsupported Model: BGEEmbeddings
- Spark NLP Configuration's spark.jsl.settings.storage.cluster_tmp_dir: Databricks DBFS location does not work HOT 3
- spark-nlp in databricks writing to root s3 in cluster HOT 1
- Import Whisper large v3 into Spark NLP HOT 5
- Zero-Shot NER gives wrong entities with labels HOT 12
- Cannot cast to float HOT 8
- Flexible normalization HOT 1
- XlmRoBertaSentenceEmbeddings returns huge amount of embeddings instead of set dimensions
- Sparknlp returning different embedding for manual spark dataframe vs reading from file spark dataframe HOT 5
- SparkNLP Embeddings inference 3X slower than with pandas_udf HOT 3
- EntityRuler fails two basic tests HOT 3
- Show an error of 'GLIBC_2.27 not found' when pretrained model download in AWS EMR HOT 2
- Onnx models fail when saving transformer
- Hardcoded column name in DocumentSimilarityRanker annotator
- ERROR TorrentBroadcast: Store broadcast broadcast_5 fail, remove all pieces of the broadcast HOT 7
- Scala 2.13 support HOT 1
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from spark-nlp.