Token Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
language-identification
codeswitching
Instructions to use DerivedFunction/polyglot-tagger-v2.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DerivedFunction/polyglot-tagger-v2.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DerivedFunction/polyglot-tagger-v2.2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DerivedFunction/polyglot-tagger-v2.2") model = AutoModelForTokenClassification.from_pretrained("DerivedFunction/polyglot-tagger-v2.2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12fc2aac0bb0e422d1849f9e716f42c47fb1504c583d3c548663013c19f818e2
- Size of remote file:
- 16.8 MB
- SHA256:
- 7a5451f31fe3f899dcd75ec2ad93f415528c9b5f58bb7a5a1c6dd5884fb56257
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