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:
- 5d75481ca4cb3664de3fa2aab1ec51bdb6f7c83395274dd1bd74b8be26fcdb1b
- Size of remote file:
- 670 MB
- SHA256:
- 382bc665aef9d7ac443702e1b0e46e20ef9fdf231c456b107fb7771dc1a9109a
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