Instructions to use arsruts/Robert-dutch_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arsruts/Robert-dutch_text_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arsruts/Robert-dutch_text_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arsruts/Robert-dutch_text_classification") model = AutoModelForSequenceClassification.from_pretrained("arsruts/Robert-dutch_text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arsruts/Robert-dutch_text_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/arsruts/Robert-dutch_text_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://arsruts/Robert-dutch_text_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arsruts/Robert-dutch_text_classification/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- fb47a0feae0f960a43351ceea5fa7581bef3d203c582776f980d95aca3e546c2
- Size of remote file:
- 4.98 kB
- SHA256:
- 51e785c51afb88ce214a1c0635974da0d49d6cba25e56de85ecf8b30863f2e7d
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