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") - Notebooks
- Google Colab
- Kaggle
Commit ·
3b2f4f6
1
Parent(s): 7ccaedb
Update requirements.txt
Browse files- requirements.txt +3 -1
requirements.txt
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tensorboard>=2.7.0
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torch>=1.9.0
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tensorflow>=2.7.0
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jax[tpu]>=0.2.28
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tensorboard>=2.7.0
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torch>=1.9.0
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tensorflow>=2.7.0
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jax[tpu]>=0.2.28
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clu
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seqio
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