Token Classification
Transformers
PyTorch
German
Spanish
English
xlm-roberta
politics
communication
public sphere
Instructions to use Sami92/XLM-PER-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sami92/XLM-PER-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sami92/XLM-PER-B")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sami92/XLM-PER-B") model = AutoModelForTokenClassification.from_pretrained("Sami92/XLM-PER-B") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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