Transformers
PyTorch
Safetensors
t5
text2text-generation
Math
Summarization
Mathematics
text-generation-inference
Instructions to use hyunjongkimmath/notation_summarizations_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyunjongkimmath/notation_summarizations_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hyunjongkimmath/notation_summarizations_model") model = AutoModelForSeq2SeqLM.from_pretrained("hyunjongkimmath/notation_summarizations_model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b9a94a12cdc23406a02d1d7d5fd6e6bc5a9365525ed9ac7edcc8f7756481625
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size 242041896
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