Instructions to use AllanK24/tbs17-MathBERT-Math-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AllanK24/tbs17-MathBERT-Math-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AllanK24/tbs17-MathBERT-Math-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AllanK24/tbs17-MathBERT-Math-Classifier") model = AutoModelForSequenceClassification.from_pretrained("AllanK24/tbs17-MathBERT-Math-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c69476c6fe22906367a7b6693d18b7f087993f959b7ee3522f9f63bd6ffaba2
- Size of remote file:
- 438 MB
- SHA256:
- ff8a4e54d81aa7212cca4af206539c5400e80a3793bfe61b09dcefd9247bcc5b
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