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
- Xet hash:
- 00383c4c8d1c3d1770da95d1ab6230bd3e4c7e39160e1b45f3439677a9bcb183
- Size of remote file:
- 441 MB
- SHA256:
- fd9a58f88f6c61cd4637720e71ca287a704d662c96947f744ebce8618814b84f
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