Token Classification
Transformers
Safetensors
English
roberta
feature-extraction
entity-recognition
foundation-model
RoBERTa
generic
Instructions to use numind/NuNER-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use numind/NuNER-v2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="numind/NuNER-v2.0")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("numind/NuNER-v2.0") model = AutoModel.from_pretrained("numind/NuNER-v2.0") - Notebooks
- Google Colab
- Kaggle
Impressive improvement compared with v0.1
#3
by JJZhu-AI - opened
The improvement of v2.0 is so significant compared with v0.1. Since both models refer to the same paper. Could you share some insights about what crucial changes of v2.0 lead to these impressive results? Could you also share some information about the dataset size for v2.0, and whether you have any insights about the impact of data domain?
Thank!