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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d413ffc355010e015b4ae5ac257b82913d3814d30586dfba99cf289aff1229fa
- Size of remote file:
- 892 MB
- SHA256:
- 5c493f029c37b7f377dee1a792bd5d9adb851ddc3adef9204fb9e8436c50924a
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