Instructions to use fliarbi/t5-flan-product-detector-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fliarbi/t5-flan-product-detector-new with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("fliarbi/t5-flan-product-detector-new") model = AutoModelForSeq2SeqLM.from_pretrained("fliarbi/t5-flan-product-detector-new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e53c5ef8a7963e65cfee89c0f80291e5e0986026f2697ad97fc5e7887a7fd050
- Size of remote file:
- 990 MB
- SHA256:
- d8fd055a19a71b91833eb013f836e3e01d7750c3dc92b238ca7b3e66034c2a05
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