Token Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use swtb/XLM-RoBERTa-Base-Conll2003-English-NER-Finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swtb/XLM-RoBERTa-Base-Conll2003-English-NER-Finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="swtb/XLM-RoBERTa-Base-Conll2003-English-NER-Finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("swtb/XLM-RoBERTa-Base-Conll2003-English-NER-Finetune") model = AutoModelForTokenClassification.from_pretrained("swtb/XLM-RoBERTa-Base-Conll2003-English-NER-Finetune") - Notebooks
- Google Colab
- Kaggle
Ctrl+K