Instructions to use Denn231/internal_clf_v_0.7697 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/internal_clf_v_0.7697 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/internal_clf_v_0.7697")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/internal_clf_v_0.7697") model = AutoModelForSequenceClassification.from_pretrained("Denn231/internal_clf_v_0.7697") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e19e9be9779ddda78972bca07f8d8c792bab7cce3b269a2d6ea337bbc600d46b
- Size of remote file:
- 5.37 kB
- SHA256:
- 28247106da018f19f80f4e75fc0e5fb98cb2b697abb80e1710a259080d7d7509
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