Create README.md

README.md

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+---
+license: cc-by-4.0
+datasets:
+- comma-project/alignement-pairs
+language:
+- fr
+- la
+base_model:
+- google/byt5-small
+pipeline_tag: translation
+examples:
+- text: "⁊ non facimus ĩitatem."
+- text: "Car toutes les lois sont fõ dees cor recon droitu riele pour quoi se les lois ne tont droiture "
+---
+
+# ByT5-Small for Normalization
+
+This models allows for normalization of ATR output using CATMuS guidelines, for both Latin and Old French. It fixes spacing, it has tendencies to
+overnormalize and add punctuation.
+
+```py
+from transformers import pipeline
+
+pipe = pipeline(
+    task="text2text-generation",  # change if needed
+    model=".",                  # local directory
+    tokenizer="."
+)
+pipe("⁊ non facimus ĩitatem.")
+# [{'generated_text': ' non facimus veritatem.'}]
+```