Transformers
PyTorch
JAX
English
t5
text2text-generation
biomedical
clinical
ul2
encoder-decoder
pretraining
medical
text-generation-inference
Instructions to use Siddharth63/pubmedul2_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siddharth63/pubmedul2_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Siddharth63/pubmedul2_small") model = AutoModelForSeq2SeqLM.from_pretrained("Siddharth63/pubmedul2_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee39cda034612af3f638ee37c9c07e281322a00cd3a48ae936c56010e37a8981
- Size of remote file:
- 308 MB
- SHA256:
- 673a146bce1ac9c36df4420f82694a985cc48d94c323f8736ace1cac0af38703
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