How to use sacreemure/med_t5_summ_ru with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="sacreemure/med_t5_summ_ru")
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sacreemure/med_t5_summ_ru") model = AutoModelForSeq2SeqLM.from_pretrained("sacreemure/med_t5_summ_ru")
Seq2seq model for abstractive summarization of Russian biomedical texts.
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