Instructions to use Denn231/internal_clf_v_0.7694 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/internal_clf_v_0.7694 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/internal_clf_v_0.7694")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/internal_clf_v_0.7694") model = AutoModelForSequenceClassification.from_pretrained("Denn231/internal_clf_v_0.7694") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14a929b43feef3ef2ee75c1ff654fb5209580a2e5d0f58dea9f42ff64fe65e30
- Size of remote file:
- 5.37 kB
- SHA256:
- 4ee14e23a7fde8c57d80bff2d15d46b14cdc9970cdcec8bda833a4a7d118b065
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