Instructions to use Suppi123/Flan-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/Flan-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/Flan-T5-Base-Text-Style-Transfer-Using-Examples") model = AutoModelForSeq2SeqLM.from_pretrained("Suppi123/Flan-T5-Base-Text-Style-Transfer-Using-Examples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Suppi123/Flan-T5-Base-Text-Style-Transfer-Using-Examples: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/Suppi123/Flan-T5-Base-Text-Style-Transfer-Using-Examples/resolve/main/model.safetensors
- Command line
-
hf download hf://Suppi123/Flan-T5-Base-Text-Style-Transfer-Using-Examples/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Suppi123/Flan-T5-Base-Text-Style-Transfer-Using-Examples/resolve/main/model.safetensors
990 MB
- Xet hash:
- 3f4fe386b631691e2a74fef810777eeb866e905e150bb2cfe748b9c4993547cc
- Size of remote file:
- 990 MB
- SHA256:
- 7e7935adc978f29ff87ec1be7f36a3d96d18a96095d0b85463db8b7d619ff1b6
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