Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Dutch
roberta
sentiment-analysis
dutch
text
Eval Results (legacy)
text-embeddings-inference
Instructions to use BramVanroy/robbert-v2-dutch-base-hebban-reviews5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BramVanroy/robbert-v2-dutch-base-hebban-reviews5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BramVanroy/robbert-v2-dutch-base-hebban-reviews5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BramVanroy/robbert-v2-dutch-base-hebban-reviews5") model = AutoModelForSequenceClassification.from_pretrained("BramVanroy/robbert-v2-dutch-base-hebban-reviews5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download fig/test_confusion_matrix_norm.png from BramVanroy/robbert-v2-dutch-base-hebban-reviews5: direct link, hf CLI and curl.
- Browser
- Download file 121 kB
-
https://huggingface.co/BramVanroy/robbert-v2-dutch-base-hebban-reviews5/resolve/main/fig/test_confusion_matrix_norm.png
- Command line
-
hf download hf://BramVanroy/robbert-v2-dutch-base-hebban-reviews5/fig/test_confusion_matrix_norm.png
-
curl -L -o test_confusion_matrix_norm.png https://huggingface.co/BramVanroy/robbert-v2-dutch-base-hebban-reviews5/resolve/main/fig/test_confusion_matrix_norm.png
121 kB
