Instructions to use hyesunyun/NonsenseUpdateDiffIntBart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyesunyun/NonsenseUpdateDiffIntBart 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="hyesunyun/NonsenseUpdateDiffIntBart")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hyesunyun/NonsenseUpdateDiffIntBart") model = AutoModelForSeq2SeqLM.from_pretrained("hyesunyun/NonsenseUpdateDiffIntBart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hyesunyun/NonsenseUpdateDiffIntBart: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/hyesunyun/NonsenseUpdateDiffIntBart/resolve/main/training_args.bin
- Command line
-
hf download hf://hyesunyun/NonsenseUpdateDiffIntBart/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hyesunyun/NonsenseUpdateDiffIntBart/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- 5c4661ef9a5f566aa2d8da7580dde11ce95f83cf3f65cd133cb3d3eb56452054
- Size of remote file:
- 3.12 kB
- SHA256:
- 111d019760d6304abebb02815ff9ad46caaf9291f6068c07fb5495947d8eebff
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