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
This commit is contained in:
Sagor Sarker 2020-08-22 22:13:21 +06:00 committed by GitHub
parent 97bb2497ab
commit 068df740bd
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 73 additions and 0 deletions

View File

@ -0,0 +1,37 @@
---
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)
```

View File

@ -0,0 +1,36 @@
---
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)
```