How to use pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15 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="pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15")
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP15", device_map="auto")
autoevaluator