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/sagorsarker/codeswitch-nepeng-lid-lince/README.md

README.md

@@ -0,0 +1,54 @@
+---
+language:
+- ne
+- en
+datasets:
+- lince
+license: mit
+tags:
+- codeswitching
+- nepali-english
+- language-identification
+---
+
+# codeswitch-nepeng-lid-lince
+This is a pretrained model for **language identification** of `nepali-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home).
+
+This model is trained for this below repository. 
+
+[https://github.com/sagorbrur/codeswitch](https://github.com/sagorbrur/codeswitch)
+
+To install codeswitch:
+
+```
+pip install codeswitch
+```
+
+## Identify Language
+
+* **Method-1**
+
+```py
+
+from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
+
+tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-nepeng-lid-lince")
+
+model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-nepeng-lid-lince")
+lid_model = pipeline('ner', model=model, tokenizer=tokenizer)
+
+lid_model("put any nepali english code-mixed sentence")
+
+```
+
+* **Method-2**
+
+```py
+from codeswitch.codeswitch import LanguageIdentification
+lid = LanguageIdentification('nep-eng') 
+text = "" # your code-mixed sentence 
+result = lid.identify(text)
+print(result)
+
+```
+