Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use bztest/xlm-roberta-base-finetuned-panx-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bztest/xlm-roberta-base-finetuned-panx-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bztest/xlm-roberta-base-finetuned-panx-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bztest/xlm-roberta-base-finetuned-panx-de") model = AutoModelForTokenClassification.from_pretrained("bztest/xlm-roberta-base-finetuned-panx-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K