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:
- fb8506e6960f8d32e4d292d8899fb5139125768b3f6efb9c783360f5364adbf3
- Size of remote file:
- 1.11 GB
- SHA256:
- 2455b960fbdfa72ad7b04a55ea6dc99bddb425c54bb3f4023295d9a7470a4d44
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