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
beginners steps
#2
by chk2817 - opened
Hi There,
a bit of a newbie in the world of transformers. Quick question.
the example in the model card outputs the embeddings. How do we go from embedding to actual entities?
I am missing a step unless this part is not open-sourced?
I wanted a solution that automatically detect entities rather than relying on user-defined labels like in Gliner.
Thanks in advance for the reply
Can someone help to instruct how to use the embeddings to find out the entities from the given text without fine-tuning or training with dataset.
would be nice if there a script provided similar to the one for nuner_zero