Instructions to use AnReu/math_albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnReu/math_albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnReu/math_albert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnReu/math_albert") model = AutoModel.from_pretrained("AnReu/math_albert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (565dc47f8413af67a03af4480a53187ab5cec669) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>61ca352
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added link to math bert model
36fbb99
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Update README.md
dd4c2d6 -
Upload overview image for training
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Update README.md
610ec60 -
Create README.md
18694b9 -
added model and tokenizer
Anja Reuschac16ed1 -
initial commit
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