How to use nzm97/math_question_grade_detection_Bert_databalanced_v2 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_v2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nzm97/math_question_grade_detection_Bert_databalanced_v2") model = AutoModelForSequenceClassification.from_pretrained("nzm97/math_question_grade_detection_Bert_databalanced_v2", device_map="auto")
https://huggingface.co/nzm97/math_question_grade_detection_Bert_databalanced_v2/resolve/main/tokenizer.json
hf download hf://nzm97/math_question_grade_detection_Bert_databalanced_v2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/nzm97/math_question_grade_detection_Bert_databalanced_v2/resolve/main/tokenizer.json
