Token Classification
Transformers
Safetensors
English
roberta
quantity span identification
quantity extraction
quantity mention detection
quantititative information extraction
measurement extraction
numeric
number
unit
Instructions to use JuelichSystemsAnalysis/quinex-quantity-v0-82M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuelichSystemsAnalysis/quinex-quantity-v0-82M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JuelichSystemsAnalysis/quinex-quantity-v0-82M")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("JuelichSystemsAnalysis/quinex-quantity-v0-82M") model = AutoModelForTokenClassification.from_pretrained("JuelichSystemsAnalysis/quinex-quantity-v0-82M") - Notebooks
- Google Colab
- Kaggle
Ctrl+K