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leblanciii
/
trident-peril-classifier

Text Classification
Transformers
PyTorch
Safetensors
roberta
fill-mask
multi-label-classification
builders-risk
text-embeddings-inference
Model card Files
xet
 Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="leblanciii/trident-peril-classifier")
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("leblanciii/trident-peril-classifier")
model = AutoModelForMaskedLM.from_pretrained("leblanciii/trident-peril-classifier", device_map="auto")
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Trident Peril Classifier

Multi-label text classification model for builders risk insurance peril detection.

Labels

fire, flood, named_windstorm, construction_theft, transient_population, civil_unrest, earthquake

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Safetensors
Model size
0.1B params
Tensor type
F32
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