Instructions to use LahiruProjects/case-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LahiruProjects/case-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LahiruProjects/case-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LahiruProjects/case-classifier") model = AutoModelForSequenceClassification.from_pretrained("LahiruProjects/case-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7ea2014a05149a1f434404b2076cc409edb2e4a77209db47ab6d187181fc055
- Size of remote file:
- 268 MB
- SHA256:
- 0e18855135ee58eda87f6a76ecfc88f2ef59da8d8c5a1ef883ffdde7ef5664c5
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