Instructions to use RAYZ/t5-pegasus-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RAYZ/t5-pegasus-mixed with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RAYZ/t5-pegasus-mixed") model = AutoModelForSeq2SeqLM.from_pretrained("RAYZ/t5-pegasus-mixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RAYZ/t5-pegasus-mixed: direct link, hf CLI and curl.
- Browser
- Download file 1.1 GB
-
https://huggingface.co/RAYZ/t5-pegasus-mixed/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RAYZ/t5-pegasus-mixed/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RAYZ/t5-pegasus-mixed/resolve/main/pytorch_model.bin
1.1 GB
- Xet hash:
- 82e82bb0467cc1d346400857e51613d0483c01840dd60b9415c1294cf3252252
- Size of remote file:
- 1.1 GB
- SHA256:
- 77f76d8898f0084e1898c7fc88efbd16dec3e75a29b2cd7d6470cdc184174116
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