Instructions to use harouzie/bart-base-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harouzie/bart-base-xsum 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="harouzie/bart-base-xsum")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("harouzie/bart-base-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("harouzie/bart-base-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (d13a6da457b58251ba54c7599e8dccadd6a509a8) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>6ce2957
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