Instructions to use google/pegasus-pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/pegasus-pubmed 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="google/pegasus-pubmed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/pegasus-pubmed") model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-pubmed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/pegasus-pubmed: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/google/pegasus-pubmed/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/pegasus-pubmed/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/pegasus-pubmed/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- 8b8d6bd904bffe5a47373d746c549c2fddf6db5800913cf1c7f958687d98e88d
- Size of remote file:
- 2.28 GB
- SHA256:
- bebf3b982b0ef17a55efcfbdaf0d8cd9cfba6d11f5e579585452fd5356c1549a
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