Text Classification
Transformers
Safetensors
English
modernbert
fact-checking
semantic-router
Eval Results (legacy)
text-embeddings-inference
Instructions to use kalyan-ks/Ammu-1.0-FactCheck-Need-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kalyan-ks/Ammu-1.0-FactCheck-Need-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kalyan-ks/Ammu-1.0-FactCheck-Need-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kalyan-ks/Ammu-1.0-FactCheck-Need-tiny") model = AutoModelForSequenceClassification.from_pretrained("kalyan-ks/Ammu-1.0-FactCheck-Need-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K