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/julien-c/EsperBERTo-small-pos/README.md

README.md

@@ -0,0 +1,42 @@
+---
+language: eo
+thumbnail: https://huggingface.co/blog/assets/01_how-to-train/EsperBERTo-thumbnail-v2.png
+widget:
+- text: "Mi estas viro kej estas tago varma."
+---
+
+# EsperBERTo: RoBERTa-like Language model trained on Esperanto
+
+**Companion model to blog post https://huggingface.co/blog/how-to-train** 🔥
+
+## Training Details
+
+- current checkpoint: 566000
+- machine name: `galinette`
+
+
+![](https://huggingface.co/blog/assets/01_how-to-train/EsperBERTo-thumbnail-v2.png)
+
+## Example pipeline
+
+```python
+from transformers import TokenClassificationPipeline, pipeline
+
+
+MODEL_PATH = "./models/EsperBERTo-small-pos/"
+
+nlp = pipeline(
+    "ner",
+    model=MODEL_PATH,
+    tokenizer=MODEL_PATH,
+)
+# or instantiate a TokenClassificationPipeline directly.
+
+nlp("Mi estas viro kej estas tago varma.")
+
+# {'entity': 'PRON', 'score': 0.9979867339134216, 'word': ' Mi'}
+# {'entity': 'VERB', 'score': 0.9683094620704651, 'word': ' estas'}
+# {'entity': 'VERB', 'score': 0.9797462821006775, 'word': ' estas'}
+# {'entity': 'NOUN', 'score': 0.8509314060211182, 'word': ' tago'}
+# {'entity': 'ADJ', 'score': 0.9996201395988464, 'word': ' varma'}
+```