Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use nzm97/math_question_grade_detection_Bert_databalanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nzm97/math_question_grade_detection_Bert_databalanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nzm97/math_question_grade_detection_Bert_databalanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nzm97/math_question_grade_detection_Bert_databalanced") model = AutoModelForSequenceClassification.from_pretrained("nzm97/math_question_grade_detection_Bert_databalanced") - Notebooks
- Google Colab
- Kaggle
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