Text Classification
Transformers
Safetensors
English
modernbert
multi-head-classification
llm-routing
llm-gateway
model-routing
prompt-classification
query-classification
data-classification
retrieval-augmented-generation
calibration
synthetic-data
Instructions to use s-ttp/aiva-rlcd-modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-ttp/aiva-rlcd-modernbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="s-ttp/aiva-rlcd-modernbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("s-ttp/aiva-rlcd-modernbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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