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")# pip install -U transformers accelerate # 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
Download training_args.bin from juliensimon/t5-base-billsum: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/juliensimon/t5-base-billsum/resolve/main/training_args.bin
- Command line
-
hf download hf://juliensimon/t5-base-billsum/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/juliensimon/t5-base-billsum/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- de0e4475687e0cca1de921aca7c9b414e4900bfcb6b0df24dd71d869573181a3
- Size of remote file:
- 3.64 kB
- SHA256:
- 1de445450e13f249b39df81f3289d0224d0a92d3bff4345b0db82d7a7c648480
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