Instructions to use jmeadows17/MathT5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmeadows17/MathT5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jmeadows17/MathT5-base") model = AutoModelForSeq2SeqLM.from_pretrained("jmeadows17/MathT5-base") - Notebooks
- Google Colab
- Kaggle
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README.md
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**Overview**
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MathT5-base is a version of T5-base (_not FLAN-T5_) that is fine-tuned for 25 epochs on 15K (LaTeX) synthetic mathematical derivations (containing 4 - 10 equations), that were generated using a symbolic solver (SymPy). Paper available
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**Example prompt:**
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**Overview**
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MathT5-base is a version of T5-base (_not FLAN-T5_) that is fine-tuned for 25 epochs on 15K (LaTeX) synthetic mathematical derivations (containing 4 - 10 equations), that were generated using a symbolic solver (SymPy). Paper available here: https://arxiv.org/abs/2307.09998.
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**Example prompt:**
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