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 optimizer.pt from hyesunyun/NonsenseUpdateDiffIntBart: direct link, hf CLI and curl.
- Browser
- Download file 2.88 GB
-
https://huggingface.co/hyesunyun/NonsenseUpdateDiffIntBart/resolve/main/optimizer.pt
- Command line
-
hf download hf://hyesunyun/NonsenseUpdateDiffIntBart/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/hyesunyun/NonsenseUpdateDiffIntBart/resolve/main/optimizer.pt
2.88 GB
- Xet hash:
- b43c36784c07120882c3fcec37e2b07ae546498fd132568d3e051a35b96f8391
- Size of remote file:
- 2.88 GB
- SHA256:
- 855341f056e7e3fc8a6fb38fb3aa8f01f7e54f6f812523b3a3786e18590b538b
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