Instructions to use alexandrainst/da-ned-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/da-ned-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandrainst/da-ned-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-ned-base") model = AutoModelForSequenceClassification.from_pretrained("alexandrainst/da-ned-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37dd386b3fcedaeae4be0039697cfe67d4cb3d7b27e9ffecd403a305e3a5b0d4
- Size of remote file:
- 1.11 GB
- SHA256:
- b0c5eb6ed9b89260cb34d1f39ca31447ac0a975c874c565f36b75bbdf0cb29ca
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