# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("pruhtopia/bert-toc-classification")
model = AutoModelForSequenceClassification.from_pretrained("pruhtopia/bert-toc-classification")Quick Links
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.8727797865867615
f1_macro: 0.4743843561639563
f1_micro: 0.7148333333333333
f1_weighted: 0.6973841930196186
precision_macro: 0.689196184834718
precision_micro: 0.7148333333333333
precision_weighted: 0.7078896728033317
recall_macro: 0.41641019062275997
recall_micro: 0.7148333333333333
recall_weighted: 0.7148333333333333
accuracy: 0.7148333333333333
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pruhtopia/bert-toc-classification")