Instructions to use sianbru/product_classifier_split_url2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sianbru/product_classifier_split_url2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sianbru/product_classifier_split_url2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sianbru/product_classifier_split_url2") model = AutoModelForSequenceClassification.from_pretrained("sianbru/product_classifier_split_url2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2622ffa3191b84c8cc715353d8ad32306bfa42f167bdc02aadf59af16e0126bb
- Size of remote file:
- 4.09 kB
- SHA256:
- dda57522a694d42bf0d8282eb3d68cae1fbdc22e7951254be5f067a376ad92a5
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