Instructions to use Denn231/internal_clf_v_0.7698 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/internal_clf_v_0.7698 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/internal_clf_v_0.7698")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/internal_clf_v_0.7698") model = AutoModelForSequenceClassification.from_pretrained("Denn231/internal_clf_v_0.7698") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b43899c68795be7eb76d73d2b69a2eb405a62fc758e7ddb87e05e08510c85d23
- Size of remote file:
- 5.37 kB
- SHA256:
- 65ab5447488c5fa5d73954c50a01d39ddf54d62ee225aa9e3002397bce64ba35
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