Instructions to use Denn231/internal_clf_v_0.73 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/internal_clf_v_0.73 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/internal_clf_v_0.73")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/internal_clf_v_0.73") model = AutoModelForSequenceClassification.from_pretrained("Denn231/internal_clf_v_0.73") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e2cf2bcd72260b587256883767b731ed242975eab50e76b39e62bf76d3154bb
- Size of remote file:
- 5.37 kB
- SHA256:
- f3df3ddc5c35ee54bc3bf7cdb5493bf0d391f11278f3bc1f688f81259dca3a00
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