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DataMuncher-Labs
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SC-200k

Text Classification
Transformers
English
anti-spam
spam
spamclass
english
English
EN
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="DataMuncher-Labs/SC-200k")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("DataMuncher-Labs/SC-200k", dtype="auto")
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SpamClass 200k

  • acc=0.8309555408095554
  • prec=0.810126582278481
  • rec=0.7378309137489325
  • f1=0.7722905027932961

Trained on a custom corpus.

1x T4 was used during training.

It primarily is meant for english spam, its accurate 83% of the time.

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