Instructions to use pszemraj/distill-pegasus-CompMath with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/distill-pegasus-CompMath with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/distill-pegasus-CompMath") model = AutoModelForSeq2SeqLM.from_pretrained("pszemraj/distill-pegasus-CompMath", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pszemraj/distill-pegasus-CompMath: direct link, hf CLI and curl.
- Browser
- Download file 4.14 kB
-
https://huggingface.co/pszemraj/distill-pegasus-CompMath/resolve/main/training_args.bin
- Command line
-
hf download hf://pszemraj/distill-pegasus-CompMath/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pszemraj/distill-pegasus-CompMath/resolve/main/training_args.bin
4.14 kB
- Xet hash:
- 7915661699a7697500d1c1288a19830c2591063088581b3a6807e3a50d52d1c5
- Size of remote file:
- 4.14 kB
- SHA256:
- 47852a555aaf39d86a7f5b833ad7445af825393d1c7d37c14ea6b5c9ee86a429
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