How to use lityops/Abstractive-Style-Summarizer with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "lityops/Abstractive-Style-Summarizer")
How to use lityops/Abstractive-Style-Summarizer 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="lityops/Abstractive-Style-Summarizer")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lityops/Abstractive-Style-Summarizer", device_map="auto")
https://huggingface.co/lityops/Abstractive-Style-Summarizer/resolve/main/tokenizer.json
hf download hf://lityops/Abstractive-Style-Summarizer/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/lityops/Abstractive-Style-Summarizer/resolve/main/tokenizer.json
