Issue in SynapseML when connecting to Azure Form Recognizer

I am using the following Python code in a SPARK Pool notebook in Azure Synapse Analytics in order to connect to the Azure Form Recognizer service:

import synapse.ml
from synapse.ml.cognitive import *
cognitive_service_name = "CognitiveServiceFormRecognizer"
from pyspark.sql.functions import col, flatten, regexp_replace, explode, create_map, lit
emptyDf = spark.createDataFrame([("",)])

listCustomModels = (ListCustomModels()
.setLinkedService(cognitive_service_name)
.setOp("full")
.setOutputCol("models")
.setConcurrency(5))

(listCustomModels
.transform(emptyDf)
.withColumn("modelIds", col("models.modelList.modelId"))
.select("modelIds")).show()

But it returns an empty list. However, when I connect to the Form Recognizer via rest API, it returns the list of all models.

Source: https://video2.skills-academy.com/en-us/azure/synapse-analytics/machine-learning/tutorial-form-recognizer-use-mmlspark

I have already asked the question from the SynapseML Github (https://github.com/microsoft/SynapseML). No answer!!!!!

Please let me know, what should I do.
Another question: Is there any alternative for SynapseML in Synapse analytics?

Thanks for any help.