Instructions to use tbs17/MathBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tbs17/MathBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tbs17/MathBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tbs17/MathBERT") model = AutoModelForMaskedLM.from_pretrained("tbs17/MathBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
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#### MathBERT model (original vocab)
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Pretrained model on pre-k to graduate math language (English) using a masked language modeling (MLM) objective. This model is uncased: it does not make a difference between english and English.
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#### MathBERT model (original vocab)
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*Disclaimer: the format of the documentation follows the official BERT model readme.md*
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Pretrained model on pre-k to graduate math language (English) using a masked language modeling (MLM) objective. This model is uncased: it does not make a difference between english and English.
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