Instructions to use alk/pegasus-scitldr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alk/pegasus-scitldr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alk/pegasus-scitldr") model = AutoModelForSeq2SeqLM.from_pretrained("alk/pegasus-scitldr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from alk/pegasus-scitldr: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/alk/pegasus-scitldr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://alk/pegasus-scitldr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alk/pegasus-scitldr/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- 43d1a0798e9305d9f397a0882ff4624c6b4c0fed11301a10e40502bfcc9b4dc8
- Size of remote file:
- 2.28 GB
- SHA256:
- d860a4eda7287224047fab10161abbb50b0a492aa99a710a96b6c7d047532e44
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