Instructions to use NicolaiSivesind/LDA-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NicolaiSivesind/LDA-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NicolaiSivesind/LDA-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NicolaiSivesind/LDA-Classifier") model = AutoModelForSequenceClassification.from_pretrained("NicolaiSivesind/LDA-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f29fd4253b25a110f71e9290c091bb768dc8099c4b61287045589228d00af46b
- Size of remote file:
- 4.98 kB
- SHA256:
- 2571126580c83cf162ca39519a44ca8465173d240813184bd8fa877cb3ff5f6d
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