Add some metadata to the model card

README.md

@@ -8,6 +8,9 @@ language:
 - es
 base_model:
 - PleIAs/Pleias-350m-Preview
+pipeline_tag: text-generation
+tags:
+- transformers
 ---
 
 
@@ -91,4 +94,4 @@ With only 350 million parameters, Pleias-RAG-350M is classified among the *phone
 
 We also release an unquantized [GGUF version](https://huggingface.co/PleIAs/Pleias-RAG-350M-gguf) for deployment on CPU. Our internal performance benchmarks suggest that waiting times are currently acceptable for most either even under constrained RAM: about 20 seconds for a complex generation including reasoning traces on 8g RAM and below. Since the model is unquantized, quality of text generation should be identical to the original model.
 
-Once integrated into a RAG system, Pleias-RAG-350M can also be use in a broader range of non-conversational use cases including user support or educational assistance. Through this release, we aims to make tiny model workable in production by relying systematically on an externalized memory.
+Once integrated into a RAG system, Pleias-RAG-350M can also be use in a broader range of non-conversational use cases including user support or educational assistance. Through this release, we aims to make tiny model workable in production by relying systematically on an externalized memory.