Instructions to use Denn231/internal_clf_v_0.7699 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/internal_clf_v_0.7699 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/internal_clf_v_0.7699")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/internal_clf_v_0.7699") model = AutoModelForSequenceClassification.from_pretrained("Denn231/internal_clf_v_0.7699") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe56401a28818dca84f92c8b330d4eb30380c96cf2df9df75ec2945a86b119d4
- Size of remote file:
- 5.37 kB
- SHA256:
- f0323e2dd2083b996b300b59f9a74f61805617c8e090c83a337061385e3cdc97
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