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 requirements.txt from Siddharth63/pubmedul2-tiny-nl6: direct link, hf CLI and curl.
- Browser
- Download file 234 Bytes
-
https://huggingface.co/Siddharth63/pubmedul2-tiny-nl6/resolve/main/requirements.txt
- Command line
-
hf download hf://Siddharth63/pubmedul2-tiny-nl6/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/Siddharth63/pubmedul2-tiny-nl6/resolve/main/requirements.txt
234 Bytes
| datasets>=1.16.1 | |
| transformers>=4.13.0 | |
| flax>=0.3.5 | |
| optax>=0.1.0 | |
| tqdm>=4.61.1 | |
| numpy>=1.19.5 | |
| tokenizers>=0.10.3 | |
| sentencepiece>=0.1.96 | |
| protobuf>=3.17.3,<=3.20.99 | |
| tensorboard>=2.7.0 | |
| torch>=1.9.0 | |
| tensorflow>=2.7.0 | |
| jax[tpu]>=0.2.28 | |
| clu | |
| seqio |