Instructions to use AnReu/albert-for-arqmath-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnReu/albert-for-arqmath-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnReu/albert-for-arqmath-3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnReu/albert-for-arqmath-3") model = AutoModel.from_pretrained("AnReu/albert-for-arqmath-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Added link to our BERT model to README
Browse files
README.md
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| base | ALBERT | MathSE (1) | no | |
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| Khan_SE | ALBERT | MathSE (1) mixed with Khan | no | |
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# Usage
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```python
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| base | ALBERT | MathSE (1) | no | |
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| Khan_SE | ALBERT | MathSE (1) mixed with Khan | no | |
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### Update
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We have also further pre-trained a BERT-base-cased model in the same way as our ALBERT model. You can find it here: [AnReu/math_pretrained_bert](https://huggingface.co/AnReu/math_pretrained_bert).
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# Usage
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```python
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