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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://Suppi123/Flan-T5-Base-Text-Style-Transfer-Using-Examples/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Suppi123/Flan-T5-Base-Text-Style-Transfer-Using-Examples/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 6a6630dc6e5ff9ae3fc0ec77f4e40d69f85282e168379113a58f264eb9235a9c
- Size of remote file:
- 990 MB
- SHA256:
- 70e3103570cb4e4f32acfd63c6c3f32d8fe12e84256e89db9eaa7b8c2b41b389
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