add end-of-training checkpoint f7e2dad
peter szemraj commited on
How to use stacked-summaries/flan-t5-small-stacked-samsum-1024 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="stacked-summaries/flan-t5-small-stacked-samsum-1024") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("stacked-summaries/flan-t5-small-stacked-samsum-1024")
model = AutoModelForSeq2SeqLM.from_pretrained("stacked-summaries/flan-t5-small-stacked-samsum-1024", device_map="auto")