Transformers
JAX
Safetensors
English
t5
text2text-generation
biomedical
clinical
ul2
encoder-decoder
pretraining
medical
text-generation-inference
Instructions to use Siddharth63/medul2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siddharth63/medul2-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Siddharth63/medul2-base") model = AutoModelForSeq2SeqLM.from_pretrained("Siddharth63/medul2-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc4d0057605329fd055cc480a5d710ae8e77fd9e27038e32fcac8d6e6b77f8d4
- Size of remote file:
- 990 MB
- SHA256:
- 8eda53519a85ea260435ffbb50bd3f21876fc66e25623568f5f5d406acf40bc0
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