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 training_args.bin from alk/pegasus-scitldr: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/alk/pegasus-scitldr/resolve/main/training_args.bin
- Command line
-
hf download hf://alk/pegasus-scitldr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alk/pegasus-scitldr/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- 7642810ff9e9557ca6055f5e589b557a89bb81469a379699b45f9d258406836e
- Size of remote file:
- 3.18 kB
- SHA256:
- ce74ec7ea1de11e9bc250346b486343edc70c6a8ae3256e9db3f031c2c2ecca1
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