Instructions to use MurkatG/bart-reviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MurkatG/bart-reviews 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="MurkatG/bart-reviews")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MurkatG/bart-reviews") model = AutoModelForSeq2SeqLM.from_pretrained("MurkatG/bart-reviews") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2a152eb7ce92d2c0ab9a6f2407cd412e83a05a43464fd0c7ab5e34d5b59b1ed
- Size of remote file:
- 558 MB
- SHA256:
- 23d4109c873b8205042e836919b154f92d63d84839d29b09e4aae64305203c3f
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