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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48d189a7c2ee21656564b312aa77f020ac51540fbdbe976f7a3adcd0c84cd357
- Size of remote file:
- 806 kB
- SHA256:
- 579ebba0921710bb6bd17cd678d4379b4a81ca84756dab644d7e8529bd01009d
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