Instructions to use fliarbi/business_taglines_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fliarbi/business_taglines_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fliarbi/business_taglines_base") model = AutoModelForSeq2SeqLM.from_pretrained("fliarbi/business_taglines_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89798da2d9859f7834068ecd4f627460d6d895799b096e1da4890af17620ccf5
- Size of remote file:
- 4.86 kB
- SHA256:
- fb73ec9db317d23686247d418dc23b4255f0d867b2f9e6c7bdc32fe680d0afd0
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