
# 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)

```


{"language": ["ne", "en", "multilingual"], "license": "mit", "tags": ["codeswitching", "nepali-english", "language-identification"], "datasets": ["lince"]}
transformers pytorch jax safetensors bert token-classification codeswitching nepali-english language-identification ne en multilingual dataset:lince license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #safetensors #bert #token-classification #codeswitching #nepali-english #language-identification #ne #en #multilingual #dataset-lince #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# codeswitch-nepeng-lid-lince
This is a pretrained model for language identification of 'nepali-english' code-mixed data used from LinCE.

This model is trained for this below repository. 

URL

To install codeswitch:



## Identify Language

* Method-1



* Method-2




# codeswitch-nepeng-lid-lince
This is a pretrained model for language identification of 'nepali-english' code-mixed data used from LinCE.

This model is trained for this below repository. 

URL

To install codeswitch: ## Identify Language

* Method-1



* Method-2
TAGS
#transformers #pytorch #jax #safetensors #bert #token-classification #codeswitching #nepali-english #language-identification #ne #en #multilingual #dataset-lince #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # codeswitch-nepeng-lid-lince
This is a pretrained model for language identification of 'nepali-english' code-mixed data used from LinCE.

This model is trained for this below repository. 

URL

To install codeswitch: ## Identify Language

* Method-1



* Method-2
passage: TAGS
#transformers #pytorch #jax #safetensors #bert #token-classification #codeswitching #nepali-english #language-identification #ne #en #multilingual #dataset-lince #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# codeswitch-nepeng-lid-lince
This is a pretrained model for language identification of 'nepali-english' code-mixed data used from LinCE.

This model is trained for this below repository. 

URL

To install codeswitch:## Identify Language

* Method-1



* Method-2