Update README.md

README.md

@@ -3,6 +3,11 @@ tags:
 - spacy
 language:
 - it
+license: mit
+datasets:
+- wikiann
+library_name: spacy
+pipeline_tag: token-classification
 ---
 | Feature | Description |
 | --- | --- |
@@ -12,6 +17,27 @@ language:
 | **Default Pipeline** | `token_classification_transformer` |
 | **Components** | `token_classification_transformer` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
-| **Sources** | n/a |
-| **License** | n/a |
-| **Author** | [n/a]() |
+| **Author** | [Nicola Procopio](https://github.com/nickprock) |
+
+---
+
+# Description
+
+SpaCy version of [nickprock/bert-italian-finetuned-ner](https://huggingface.co/nickprock/bert-italian-finetuned-ner).
+
+> The original model is wrapped by [spacy-wrap](https://github.com/KennethEnevoldsen/spacy-wrap)
+
+## Use it in SpaCy
+
+```
+!pip install https://huggingface.co/nickprock/it_spacy_ner_trf/resolve/main/it_spacy_ner_trf-any-py3-none-any.whl
+
+import spacy
+nlp = spacy.load("it_spacy_ner_trf")
+
+doc = nlp("Domenica andrò allo stadio con Giovanna a guardare la Fiorentina.")
+
+for ent in doc.ents:
+    print(ent.text, ent.label_)
+
+```