Instructions to use juliensimon/t5-base-billsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juliensimon/t5-base-billsum 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="juliensimon/t5-base-billsum")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("juliensimon/t5-base-billsum") model = AutoModelForSeq2SeqLM.from_pretrained("juliensimon/t5-base-billsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b19e92130cfee6a9cc9c10671c1db3e38e65d9f047e68dc81665bc699225d29a
- Size of remote file:
- 892 MB
- SHA256:
- 30270b105ebeb133ddafb128872f18e93e35b689f13c1d327d3d2a8f8a7b3b7e
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