Instructions to use Delicia/newModelClassificationTrial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Delicia/newModelClassificationTrial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Delicia/newModelClassificationTrial")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Delicia/newModelClassificationTrial") model = AutoModelForSequenceClassification.from_pretrained("Delicia/newModelClassificationTrial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bbfbf5316028b517d3c919f69fc4f0cc610c232763aad6c149f776682255cc3
- Size of remote file:
- 1.11 GB
- SHA256:
- 045a2ac775a7b5287d1be38e79757e950c7dac3f9b5a3a9259cc85c10e5b86e6
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