How to use Vidit202/t5-mimic-summary 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="Vidit202/t5-mimic-summary")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Vidit202/t5-mimic-summary") model = AutoModelForSeq2SeqLM.from_pretrained("Vidit202/t5-mimic-summary", device_map="auto")
https://huggingface.co/Vidit202/t5-mimic-summary/resolve/main/tokenizer.json
hf download hf://Vidit202/t5-mimic-summary/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Vidit202/t5-mimic-summary/resolve/main/tokenizer.json
