Transformers
PyTorch
JAX
English
t5
text2text-generation
biomedical
clinical
ul2
encoder-decoder
pretraining
medical
text-generation-inference
Instructions to use Siddharth63/pubmedul2-tiny-nl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siddharth63/pubmedul2-tiny-nl6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Siddharth63/pubmedul2-tiny-nl6") model = AutoModelForSeq2SeqLM.from_pretrained("Siddharth63/pubmedul2-tiny-nl6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e92b8d38ae61e91bca4ef1d424b06bb5173945c9c1f9f6ad8214ef5fadbe17f
- Size of remote file:
- 123 MB
- SHA256:
- 196fabfa89b46a14c7a1bb92932cdcd6f0636da0246bd35669be68f6f8683694
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