Text Classification
Transformers
Safetensors
English
roberta
quantititative information extraction
measurement extraction
quantitative claim
quantitative statement
quantitative data
numeric information
text-embeddings-inference
Instructions to use JuelichSystemsAnalysis/quinex-statement-clf-v0-125M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuelichSystemsAnalysis/quinex-statement-clf-v0-125M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JuelichSystemsAnalysis/quinex-statement-clf-v0-125M")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JuelichSystemsAnalysis/quinex-statement-clf-v0-125M") model = AutoModelForSequenceClassification.from_pretrained("JuelichSystemsAnalysis/quinex-statement-clf-v0-125M") - Notebooks
- Google Colab
- Kaggle
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