Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
Swedish
Danish
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use davanstrien/scandi-fine-web-cleaner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/scandi-fine-web-cleaner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/scandi-fine-web-cleaner")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/scandi-fine-web-cleaner") model = AutoModelForSequenceClassification.from_pretrained("davanstrien/scandi-fine-web-cleaner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b975d076eb08207de21e567cf92609639fcc59e36fdb889a73eb7d2836f9794
- Size of remote file:
- 5.37 kB
- SHA256:
- 4d98cdb25a741469bd14f562b804e9cfad51e7c63e1f3adeab9f111c1ecaaf2a
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