wietsedv
/

xlm-roberta-base-ft-udpos28-eu

Token Classification Transformers PyTorch Safetensors

Basque xlm-roberta part-of-speech Eval Results Inference Endpoints

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wietsedv commited on Feb 25, 2022

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@@ -344,5 +344,13 @@ model-index:
 This model is part of our paper called:
 - Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages
-Check the [Space]([Space](https://huggingface.co/spaces/wietsedv/xpos)) for more details.

 This model is part of our paper called:
 - Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages
+Check the [Space](https://huggingface.co/spaces/wietsedv/xpos) for more details.
+## Usage
+```python
+from transformers import AutoTokenizer, AutoModelForTokenClassification
+tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-eu")
+model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-eu")
+```