Token Classification
Transformers
PyTorch
JAX
Safetensors
Nepali
English
multilingual
bert
codeswitching
nepali-english
language-identification
Instructions to use sagorsarker/codeswitch-nepeng-lid-lince with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagorsarker/codeswitch-nepeng-lid-lince with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sagorsarker/codeswitch-nepeng-lid-lince")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-nepeng-lid-lince") model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-nepeng-lid-lince", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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