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/mrm8488/bert-spanish-cased-finetuned-ner/README.md

README.md

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+---
+language: es
+thumbnail: https://i.imgur.com/jgBdimh.png
+---
+
+# Spanish BERT (BETO) + NER
+
+This model is a fine-tuned on [NER-C](https://www.kaggle.com/nltkdata/conll-corpora) version of the Spanish BERT cased [(BETO)](https://github.com/dccuchile/beto) for **NER** downstream task.
+
+## Details of the downstream task (NER) - Dataset
+
+- [Dataset:  CONLL Corpora ES](https://www.kaggle.com/nltkdata/conll-corpora) 
+
+I preprocessed the dataset and split it as train / dev (80/20)
+
+| Dataset                | # Examples |
+| ---------------------- | ----- |
+| Train                  | 8.7 K |
+| Dev                    | 2.2 K |
+
+
+- [Fine-tune on NER script provided by Huggingface](https://github.com/huggingface/transformers/blob/master/examples/token-classification/run_ner_old.py)
+
+- Labels covered:
+
+```
+B-LOC
+B-MISC
+B-ORG
+B-PER
+I-LOC
+I-MISC
+I-ORG
+I-PER
+O
+```
+
+## Metrics on evaluation set:
+
+|                                                      Metric                                                       |  # score  |
+| :------------------------------------------------------------------------------------: | :-------: |
+| F1                                       | **90.17**  
+| Precision                                | **89.86** | 
+| Recall                                   | **90.47** |    
+
+## Comparison:
+
+|                                                      Model                                                       |  # F1 score  |Size(MB)|
+| :--------------------------------------------------------------------------------------------------------------: | :-------: |:------|
+|                                        bert-base-spanish-wwm-cased (BETO)                                        |   88.43   | 421
+| [bert-spanish-cased-finetuned-ner (this one)](https://huggingface.co/mrm8488/bert-spanish-cased-finetuned-ner) | **90.17** | 420 |
+|                                              Best Multilingual BERT                                              |   87.38   | 681 |
+|[TinyBERT-spanish-uncased-finetuned-ner](https://huggingface.co/mrm8488/TinyBERT-spanish-uncased-finetuned-ner) | 70.00 | **55** |
+
+## Model in action
+
+Fast usage with **pipelines**:
+
+```python
+from transformers import pipeline
+
+nlp_ner = pipeline(
+    "ner",
+    model="mrm8488/bert-spanish-cased-finetuned-ner",
+    tokenizer=(
+        'mrm8488/bert-spanish-cased-finetuned-ner',  
+        {"use_fast": False}
+))
+
+text = 'Mis amigos están pensando viajar a Londres este verano'
+
+nlp_ner(text)
+
+#Output: [{'entity': 'B-LOC', 'score': 0.9998720288276672, 'word': 'Londres'}]
+```
+
+> Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488)
+
+> Made with <span style="color: #e25555;">&hearts;</span> in Spain