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:
# pip install -U transformers accelerate # 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
Download training_args.bin from abdelhalim/Rec_Business_Names: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/abdelhalim/Rec_Business_Names/resolve/2bde2cf4fdaaa5d77ea441eeea00a26cf15e16e8/training_args.bin
- Command line
-
hf download hf://abdelhalim/Rec_Business_Names@2bde2cf4fdaaa5d77ea441eeea00a26cf15e16e8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abdelhalim/Rec_Business_Names/resolve/2bde2cf4fdaaa5d77ea441eeea00a26cf15e16e8/training_args.bin
3.06 kB
- Xet hash:
- c2c09395c09f1432e0765546589055125f9017289d75e3ac26072184e3affaf3
- Size of remote file:
- 3.06 kB
- SHA256:
- f5676872b35415c2c2d008cf3ac2aebede30b40ab504e544f6373c16123a51f7
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