Adding doc

README.md

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 # A zero-shot classifier based on bertin-roberta-base-finetuning-esnli
 
-This is a [sentence-transformers](https://www.SBERT.net) model trained on a
-collection of NLI tasks for Spanish. It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
-
-Based around the siamese networks approach from [this paper](https://arxiv.org/pdf/1908.10084.pdf).
-
 ## Usage (HuggingFace Transformers)
 Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
 
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 The `hypothesis_template` parameter is important and should be in Spanish. **In the widget on the right, this parameter is set to its default value: "This example is {}.", so different results are expected.**
 
 ## Training
-The model was trained with the parameters:
 
 **Dataset**