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:
# pip install -U transformers accelerate # 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
Download flax_model.msgpack from Siddharth63/pubmedul2-tiny-nl6: direct link, hf CLI and curl.
- Browser
- Download file 122 MB
-
https://huggingface.co/Siddharth63/pubmedul2-tiny-nl6/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Siddharth63/pubmedul2-tiny-nl6/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Siddharth63/pubmedul2-tiny-nl6/resolve/main/flax_model.msgpack
122 MB
- Xet hash:
- 768e56250b295eb5f1613627f792217db2e2ba9d8a8ab57e7de15a11cf26a87e
- Size of remote file:
- 122 MB
- SHA256:
- 165cf53a18d57eb0a1e8cda5ec0a9bdb9249b8e01f5e722ad8cbab9b9939714c
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