Instructions to use jonathanbb/ndaclassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonathanbb/ndaclassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonathanbb/ndaclassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonathanbb/ndaclassifier") model = AutoModelForSequenceClassification.from_pretrained("jonathanbb/ndaclassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66df5aa3b7b5a270a12ca1ed4cdaa0c9c6434fed125340df416f7244523ee974
- Size of remote file:
- 268 MB
- SHA256:
- e139e5d3b60c848e75162cc8fe147284f60204cdecf1a8329db8f9e23222aeb3
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