Migrate model card from transformers-repo

Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/sachaarbonel/bert-italian-cased-finetuned-pos/README.md

README.md

@@ -0,0 +1,96 @@
+---
+language: it
+datasets:
+- xtreme
+---
+
+# Italian-Bert  (Italian Bert) + POS 🎃🏷
+
+This model is a fine-tuned on [xtreme udpos Italian](https://huggingface.co/nlp/viewer/?dataset=xtreme&config=udpos.Italian) version of [Bert Base Italian](https://huggingface.co/dbmdz/bert-base-italian-cased) for **POS** downstream task.
+
+## Details of the downstream task (POS) - Dataset
+
+- [Dataset: xtreme udpos Italian](https://huggingface.co/nlp/viewer/?dataset=xtreme&config=udpos.Italian) 📚
+
+| Dataset                | # Examples |
+| ---------------------- | ----- |
+| Train                  | 716 K |
+| Dev                    | 85 K |
+
+- [Fine-tune on NER script provided by @stefan-it](https://raw.githubusercontent.com/stefan-it/fine-tuned-berts-seq/master/scripts/preprocess.py)
+
+- Labels covered:
+
+```
+ADJ
+ADP
+ADV
+AUX
+CCONJ
+DET
+INTJ
+NOUN
+NUM
+PART
+PRON
+PROPN
+PUNCT
+SCONJ
+SYM
+VERB
+X
+```
+
+## Metrics on evaluation set 🧾
+
+|                                                      Metric                                                       |  # score  |
+| :------------------------------------------------------------------------------------: | :-------: |
+| F1                                       | **97.25**  
+| Precision                                | **97.15** | 
+| Recall                                   | **97.36** |    
+
+## Model in action 🔨
+
+
+Example of usage
+
+```python
+from transformers import pipeline
+
+nlp_pos = pipeline(
+    "ner",
+    model="sachaarbonel/bert-italian-cased-finetuned-pos",
+    tokenizer=(
+        'sachaarbonel/bert-spanish-cased-finetuned-pos',  
+        {"use_fast": False}
+))
+
+
+text = 'Roma è la Capitale d'Italia.'
+
+nlp_pos(text)
+      
+'''
+Output:
+--------
+[{'entity': 'PROPN', 'index': 1, 'score': 0.9995346665382385, 'word': 'roma'},
+ {'entity': 'AUX', 'index': 2, 'score': 0.9966597557067871, 'word': 'e'},
+ {'entity': 'DET', 'index': 3, 'score': 0.9994786977767944, 'word': 'la'},
+ {'entity': 'NOUN',
+  'index': 4,
+  'score': 0.9995198249816895,
+  'word': 'capitale'},
+ {'entity': 'ADP', 'index': 5, 'score': 0.9990894198417664, 'word': 'd'},
+ {'entity': 'PART', 'index': 6, 'score': 0.57159024477005, 'word': "'"},
+ {'entity': 'PROPN',
+  'index': 7,
+  'score': 0.9994804263114929,
+  'word': 'italia'},
+ {'entity': 'PUNCT', 'index': 8, 'score': 0.9772886633872986, 'word': '.'}]
+'''
+```
+Yeah! Not too bad 🎉
+
+> Created by [Sacha Arbonel/@sachaarbonel](https://twitter.com/sachaarbonel) | [LinkedIn](https://www.linkedin.com/in/sacha-arbonel)
+
+> Made with <span style="color: #e25555;">&hearts;</span> in Paris