Instructions to use Denn231/internal_clf_v_0.52 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/internal_clf_v_0.52 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/internal_clf_v_0.52")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/internal_clf_v_0.52") model = AutoModelForSequenceClassification.from_pretrained("Denn231/internal_clf_v_0.52") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 896f10906af9764307db7565c81d20e7430acfb553960e6d9381a94ac19b3c76
- Size of remote file:
- 5.37 kB
- SHA256:
- 367f9010fa83564522ebe1d321e8be0360f64e2679fcfe72b2456baf6374cc04
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