Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use carnival13/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 carnival13/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="carnival13/xlm-roberta-base-finetuned-panx-de")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("carnival13/xlm-roberta-base-finetuned-panx-de") model = AutoModelForTokenClassification.from_pretrained("carnival13/xlm-roberta-base-finetuned-panx-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44de66a023a8dd41046fc22594c2d045a0fea1aba7d8d315685210e8768bfc7a
- Size of remote file:
- 3.45 kB
- SHA256:
- 4f8a90ecc438de99648dfe395fbc55953ae81b8b3ce023043ece898e23ed76db
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