Token Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use mariolinml/roberta_large-ner-conll2003_0818_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mariolinml/roberta_large-ner-conll2003_0818_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mariolinml/roberta_large-ner-conll2003_0818_v0", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mariolinml/roberta_large-ner-conll2003_0818_v0") model = AutoModelForTokenClassification.from_pretrained("mariolinml/roberta_large-ner-conll2003_0818_v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Add evaluation results on the conll2003 config and test split of conll2003
#1 opened almost 4 years ago
by
autoevaluator