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:
# 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
- Xet hash:
- 35d847ea24eeed40e9a8eeef3a401c2c0b7c31b5acd8be7a79d127b78fbfc5fa
- Size of remote file:
- 892 MB
- SHA256:
- a6c06f1f6f0d22363b9d178edf2f983afeb94a7a6254f033801ad930bcbbb74a
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