Transformers
PyTorch
JAX
English
t5
text2text-generation
biomedical
clinical
ul2
encoder-decoder
pretraining
medical
text-generation-inference
Instructions to use Siddharth63/pubmedul2-mini-nl8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siddharth63/pubmedul2-mini-nl8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Siddharth63/pubmedul2-mini-nl8") model = AutoModelForSeq2SeqLM.from_pretrained("Siddharth63/pubmedul2-mini-nl8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 816a28c298a06b39635c33ca8fcbd3e63bc1cf27a5022bae9d8931c495183a3b
- Size of remote file:
- 288 MB
- SHA256:
- 5b65da54660434a6c90896439edf0e251a7fbd31b5f60047a36531032693759e
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