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
Commit ·
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Parent(s): 42642ed
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README.md
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**Context**
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Most of the business name
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**Introduction**
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**Context**
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Most of the business name generator systems based on Rule based approach and only take as input a name or keyword not context. The present trained model its aim is to take in a summary for a business idea (1-2 sentences, could be even keywords) and generate a viable business name for users.
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**Introduction**
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