Text Classification
Transformers
PyTorch
Safetensors
Dutch
deberta-v2
subjectivity
newspapers
CLEF2023
text-embeddings-inference
Instructions to use GroNLP/mdebertav3-subjectivity-dutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroNLP/mdebertav3-subjectivity-dutch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GroNLP/mdebertav3-subjectivity-dutch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GroNLP/mdebertav3-subjectivity-dutch") model = AutoModelForSequenceClassification.from_pretrained("GroNLP/mdebertav3-subjectivity-dutch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (97e5b9aca90afc75bee78ec7e12ccb8c947c014a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b2ce2fa
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Create README.md
807866f -
Added Dutch model files
1e610c6 -
initial commit
b795cbc