added model_card for model codeswitch-hineng-lid-lince and codeswitch-spaeng-lid-lince (#6663)

* Create README.md

* Update README.md

* Create README.md

* Update README.md

model_cards/sagorsarker/codeswitch-hineng-lid-lince/README.md

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+---
+language:
+- hi
+- en
+---
+
+# codeswitch-hineng-lid-lince
+This is a pretrained model for **language identification** of `hindi-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home)
+
+## Identify Language
+
+* Method-1
+
+```py
+
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+
+tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-hineng-lid-lince")
+
+model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-hineng-lid-lince")
+lid_model = pipeline('ner', model=model, tokenizer=tokenizer)
+
+lid_model("put any hindi english code-mixed sentence")
+
+```
+
+* Method-2
+
+```py
+# !pip install codeswitch
+from codeswitch.codeswitch import LanguageIdentification
+lid = LanguageIdentification('hin-eng') 
+text = "" # your code-mixed sentence 
+result = lid.identify(text)
+print(result)
+```
+

model_cards/sagorsarker/codeswitch-spaeng-lid-lince/README.md

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+---
+language:
+- es
+- en
+---
+
+# codeswitch-spaeng-lid-lince
+This is a pretrained model for **language identification** of `spanish-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home)
+
+## Identify Language
+
+* Method-1
+
+```py
+
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+
+tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-spaeng-lid-lince")
+
+model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-spaeng-lid-lince")
+lid_model = pipeline('ner', model=model, tokenizer=tokenizer)
+
+lid_model("put any spanish english code-mixed sentence")
+
+```
+
+* Method-2
+
+```py
+# !pip install codeswitch
+from codeswitch.codeswitch import LanguageIdentification
+lid = LanguageIdentification('spa-eng') 
+text = "" # your code-mixed sentence 
+result = lid.identify(text)
+print(result)
+```