How to use ChaniM/tst-summarization 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="ChaniM/tst-summarization")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ChaniM/tst-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("ChaniM/tst-summarization", device_map="auto")
https://huggingface.co/ChaniM/tst-summarization/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://ChaniM/tst-summarization@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ChaniM/tst-summarization/resolve/refs%2Fpr%2F1/tokenizer.json
