Text Classification
Transformers
Safetensors
finance
nlp
classification
named-entity-recognition
hinglish
multilingual
audio
asr
Instructions to use rohin30n/Armour with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohin30n/Armour with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rohin30n/Armour")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rohin30n/Armour", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add hybrid ML risk classifier - metadata.json
Verified signature381ce82 -
Add hybrid ML risk classifier - vectorizer.pkl
Verified signature1c9c37b -
Add hybrid ML risk classifier - classifier_gb.pkl
Verified signature04c3982 -
Add hybrid ML risk classifier - classifier.pkl
Verified signaturea7b91c5