Token Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
language-identification
codeswitching
Instructions to use polyglot-tagger/language-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use polyglot-tagger/language-identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="polyglot-tagger/language-identification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("polyglot-tagger/language-identification") model = AutoModelForTokenClassification.from_pretrained("polyglot-tagger/language-identification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5072d26aaeede75f03258041c7e5f09e63ad6de2e312db7e7de4b465df7a653b
- Size of remote file:
- 5.2 kB
- SHA256:
- 5d5d81020e6bbd67f3b2229ebb1af43c3661c83bb3947ad30ea05b011fc7aa50
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