Instructions to use quangcodecode/xlm-roberta-base-finetuned-ner-thesis-dseb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quangcodecode/xlm-roberta-base-finetuned-ner-thesis-dseb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="quangcodecode/xlm-roberta-base-finetuned-ner-thesis-dseb")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("quangcodecode/xlm-roberta-base-finetuned-ner-thesis-dseb") model = AutoModelForTokenClassification.from_pretrained("quangcodecode/xlm-roberta-base-finetuned-ner-thesis-dseb", device_map="auto") - Notebooks
- Google Colab
- Kaggle