Instructions to use Suppi123/Bart-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/Bart-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/Bart-Base-Text-Style-Transfer-Using-Examples") model = AutoModelForSeq2SeqLM.from_pretrained("Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Suppi123/Bart-Base-Text-Style-Transfer-Using-Examples/resolve/refs%2Fpr%2F1/pytorch_model.bin
558 MB
- Xet hash:
- 458c832c584554f08bff86e44d3c33f1f9ad2dc538d57303cf491ed7a9f9b733
- Size of remote file:
- 558 MB
- SHA256:
- b66a23791bcc1a028b48103996628966a31a55debd4d6891122081d2490b28db
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