Added time-series blogs to the models (#23857)

* added blogs to docs

* removed new-line

docs/source/en/model_doc/informer.mdx

@@ -25,6 +25,8 @@ The abstract from the paper is the following:
 This model was contributed by [elisim](https://huggingface.co/elisim) and [kashif](https://huggingface.co/kashif).
 The original code can be found [here](https://github.com/zhouhaoyi/Informer2020).
 
+Tips:
+- Check out the Informer blog-post in HuggingFace blog: [Multivariate Probabilistic Time Series Forecasting with Informer](https://huggingface.co/blog/informer)
 
 ## InformerConfig
 

docs/source/en/model_doc/time_series_transformer.mdx

@@ -25,6 +25,7 @@ The Time Series Transformer model is a vanilla encoder-decoder Transformer for t
 
 Tips:
 
+- Check out the Time Series Transformer blog-post in HuggingFace blog: [Probabilistic Time Series Forecasting with 🤗 Transformers](https://huggingface.co/blog/time-series-transformers)
 - Similar to other models in the library, [`TimeSeriesTransformerModel`] is the raw Transformer without any head on top, and [`TimeSeriesTransformerForPrediction`]
 adds a distribution head on top of the former, which can be used for time-series forecasting. Note that this is a so-called probabilistic forecasting model, not a
 point forecasting model. This means that the model learns a distribution, from which one can sample. The model doesn't directly output values.