Transformers
PyTorch
t5
text2text-generation
Text2Text Generation
Business names
Recommendation system
text-generation-inference
Instructions to use abdelhalim/Rec_Business_Names with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdelhalim/Rec_Business_Names with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abdelhalim/Rec_Business_Names") model = AutoModelForSeq2SeqLM.from_pretrained("abdelhalim/Rec_Business_Names", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a54dac7daef78458fc9789fbcb1440f9957e45cf2597b14a43defe30b11c523f
- Size of remote file:
- 242 MB
- SHA256:
- 9b7f92b0511309b1b9986686a370d75185c1e3af07523581f36ed095114100f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.