How to use mrm8488/roberta-med-small_shared-finetuned-bbc_xsum-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="mrm8488/roberta-med-small_shared-finetuned-bbc_xsum-summarization", device_map="auto")
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/roberta-med-small_shared-finetuned-bbc_xsum-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/roberta-med-small_shared-finetuned-bbc_xsum-summarization", device_map="auto")
