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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01b453a79eda1e7434d80e9f73e7be23969b3d19d3dd6038739214a1f73ab7bf
- Size of remote file:
- 1.11 GB
- SHA256:
- 7fab6d66dae3bb936e449fc5d732439efda048b96ce368cc0022795edf93f162
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