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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rohin30n/Armour", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add hybrid ML risk classifier - classifier.pkl
Browse files- models/classifier.pkl +3 -0
models/classifier.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e038a222ad1d733c12419e743d071f0c5ee8c7f33226fb91b70e80bf3e0a54a
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size 1422651
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