How to use Vino1502/scihigh-2026-task2-t5-large with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "Vino1502/scihigh-2026-task2-t5-large")
How to use Vino1502/scihigh-2026-task2-t5-large 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="Vino1502/scihigh-2026-task2-t5-large")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vino1502/scihigh-2026-task2-t5-large", device_map="auto")
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