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