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 pytorch_model.bin from pszemraj/distill-pegasus-CompMath: direct link, hf CLI and curl.
- Browser
- Download file 1.48 GB
-
https://huggingface.co/pszemraj/distill-pegasus-CompMath/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pszemraj/distill-pegasus-CompMath/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pszemraj/distill-pegasus-CompMath/resolve/main/pytorch_model.bin
1.48 GB
- Xet hash:
- be58f5883aec5d4e5b99073865752c9308b4a4a5964267621e225515d3763fae
- Size of remote file:
- 1.48 GB
- SHA256:
- 2536f06f7592ad1f65f67762f635cf4dc540a30476841dc02574c10d13620d2f
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