Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use shivalikasingh/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 shivalikasingh/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="shivalikasingh/xlm-roberta-base-finetuned-panx-de")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("shivalikasingh/xlm-roberta-base-finetuned-panx-de") model = AutoModelForTokenClassification.from_pretrained("shivalikasingh/xlm-roberta-base-finetuned-panx-de") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0983baf0f1200d8477d839cd37a80ca9a46eb704a7ff6f1d546ff8b0b8145bd1
- Size of remote file:
- 3.64 kB
- SHA256:
- 2f544f05de462d6f45ba086cd71a94ac77a3650e4f4765f61843b5f34a7a5a61
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