Update README.md for the transformer folder

ENate · May 24, 2023 · b55847e · b55847e
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 ## Tools used in training Transformers
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+- Python 3.10+
+- Observation via Grafana (UI), Loki(logs), tempo(traces) and Prometheus (metrics).
+- Pytorch (for some examples)
+- Examples implemented using mlflow for monitoring and used in training pipelines.
 - TensorFlow - a library from training machine learning models
 - Flax is a  flexible user experience library via JAX 
 ## Models Implemented
 The following models are implemented in this folder:
 
-- Bidirectional Encoder Representations from Transformers (BERT)
+- Bidirectional Encoder Representations from Transformers (BERT)