How to use jrsenobio/summarizer_model 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="jrsenobio/summarizer_model")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jrsenobio/summarizer_model") model = AutoModelForSeq2SeqLM.from_pretrained("jrsenobio/summarizer_model", device_map="auto")
https://huggingface.co/jrsenobio/summarizer_model/resolve/main/README.md
hf download hf://jrsenobio/summarizer_model/README.md
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/jrsenobio/summarizer_model/resolve/main/README.md
pipeline_tag: summarization library_name: transformers tags: - summarization - t5
T5-based abstractive summarization model.
