Text Classification
Transformers
ONNX
Safetensors
modernbert
fineweb-edu
educational-quality
data-filtering
data-curation
pretraining-data
quality-classifier
regression
mmbert
text-embeddings-inference
Instructions to use Horizon-Labs/multilingual-edu-classifier-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Horizon-Labs/multilingual-edu-classifier-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Horizon-Labs/multilingual-edu-classifier-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Horizon-Labs/multilingual-edu-classifier-base") model = AutoModelForSequenceClassification.from_pretrained("Horizon-Labs/multilingual-edu-classifier-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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