Instructions to use unikei/t5-base-split-and-rephrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unikei/t5-base-split-and-rephrase with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("unikei/t5-base-split-and-rephrase") model = AutoModelForSeq2SeqLM.from_pretrained("unikei/t5-base-split-and-rephrase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from unikei/t5-base-split-and-rephrase: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/unikei/t5-base-split-and-rephrase/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://unikei/t5-base-split-and-rephrase/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/unikei/t5-base-split-and-rephrase/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 3d54ca50013e235fb51b71a5c53e7a5456270f01c7abb58cca3bc7657b551e82
- Size of remote file:
- 892 MB
- SHA256:
- afd39d812d9d0e08a30b7b044993fe95a6f4c4190877b32c33ca914a731453e4
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