Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Rolv-Arild/translation-source-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rolv-Arild/translation-source-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rolv-Arild/translation-source-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rolv-Arild/translation-source-classifier") model = AutoModelForSequenceClassification.from_pretrained("Rolv-Arild/translation-source-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab1227b5f45b294d888d998a65f5bcb30da418a809ffee02111ed7a20db92767
- Size of remote file:
- 5.84 kB
- SHA256:
- 65ea5fd3d926b1af0a2f3ade9f2e25cd3e4e7fbf1a4dad21de0b4d74c2bd6b94
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