Instructions to use Suppi123/T5-Base-Text-Style-Transfer-Using-Examples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suppi123/T5-Base-Text-Style-Transfer-Using-Examples with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Suppi123/T5-Base-Text-Style-Transfer-Using-Examples") model = AutoModelForSeq2SeqLM.from_pretrained("Suppi123/T5-Base-Text-Style-Transfer-Using-Examples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Suppi123/T5-Base-Text-Style-Transfer-Using-Examples: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Suppi123/T5-Base-Text-Style-Transfer-Using-Examples/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Suppi123/T5-Base-Text-Style-Transfer-Using-Examples@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Suppi123/T5-Base-Text-Style-Transfer-Using-Examples/resolve/refs%2Fpr%2F1/pytorch_model.bin
892 MB
- Xet hash:
- 35d847ea24eeed40e9a8eeef3a401c2c0b7c31b5acd8be7a79d127b78fbfc5fa
- Size of remote file:
- 892 MB
- SHA256:
- a6c06f1f6f0d22363b9d178edf2f983afeb94a7a6254f033801ad930bcbbb74a
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