Instructions to use Susan774/Classification_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Susan774/Classification_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Susan774/Classification_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Susan774/Classification_Model") model = AutoModelForSequenceClassification.from_pretrained("Susan774/Classification_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a47aff87296c5e8db09bb3756eb286569bc154a6fb562d26efea859b981b3e66
- Size of remote file:
- 1.34 GB
- SHA256:
- 6647f6fb7e2d5727f2ac553b2791084c22ab734fbee5c0d5b673d0bfebed881b
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