Transformers
PyTorch
English
t5
text2text-generation
adverse-drug-events
twitter
social-media-mining-for-health
SMM4H
text-generation-inference
Instructions to use yirmibesogluz/t2t-assert-ade-balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yirmibesogluz/t2t-assert-ade-balanced with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yirmibesogluz/t2t-assert-ade-balanced") model = AutoModelForSeq2SeqLM.from_pretrained("yirmibesogluz/t2t-assert-ade-balanced", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12ab082cb307b8791e85ab2256e1e343ae4971a8c78e8a7bfa33fd4868d5c38f
- Size of remote file:
- 892 MB
- SHA256:
- 7d2d616030b60101114d9b79883212e903f8e70ec316d7f88030acc1fd86353a
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