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 model.safetensors 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/main/model.safetensors
- Command line
-
hf download hf://Suppi123/T5-Base-Text-Style-Transfer-Using-Examples/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Suppi123/T5-Base-Text-Style-Transfer-Using-Examples/resolve/main/model.safetensors
892 MB
- Xet hash:
- 5854a848b266986c786ea045fbfc8a6a1cc5ee0f5fc32f51e1fbca40109e404c
- Size of remote file:
- 892 MB
- SHA256:
- f4dfedbc05c960e6e0418f72040117d812ea4727c1fe9f8163a22d5c3920bb03
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