Instructions to use AnReu/math_pretrained_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnReu/math_pretrained_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AnReu/math_pretrained_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AnReu/math_pretrained_roberta") model = AutoModelForMaskedLM.from_pretrained("AnReu/math_pretrained_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84ffff98c47f48c14d463c95acf4dbd9075d55b0f0f6df30b5da737bc070b05e
- Size of remote file:
- 500 MB
- SHA256:
- df32449503572d7b22039078e82b1e8a30fc93b85aa0fcc90594943ed5cc4404
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