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="AeglosAI/aeglos-v1")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("AeglosAI/aeglos-v1")
model = AutoModelForSequenceClassification.from_pretrained("AeglosAI/aeglos-v1", device_map="auto")
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Model Trained Using AutoTrain

  • Problem type: Text Classification

Validation Metrics

loss: 0.22951629757881165

f1: 0.9444444444444444

precision: 0.9577464788732394

recall: 0.9315068493150684

auc: 0.9905251141552511

accuracy: 0.9585492227979274

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Safetensors
Model size
0.2B params
Tensor type
F32
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