Token Classification
Transformers
PyTorch
JAX
Safetensors
Hindi
English
multilingual
bert
codeswitching
hindi-english
pos
Instructions to use sagorsarker/codeswitch-hineng-pos-lince with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagorsarker/codeswitch-hineng-pos-lince with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sagorsarker/codeswitch-hineng-pos-lince")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sagorsarker/codeswitch-hineng-pos-lince") model = AutoModelForTokenClassification.from_pretrained("sagorsarker/codeswitch-hineng-pos-lince") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9ceb209ca83e09ee2e80aff2d902174ed097a84c9c01853cbc732e94eb08736
- Size of remote file:
- 712 MB
- SHA256:
- 325eecec513238e7b49dc88dfb79360cb1d2fc2c60bb50325e5ebf162fb36751
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