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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 182f895ef8bcceb199fa1df967592cc6f494e79954ce40120ed1de9b30a2d42f
- Size of remote file:
- 1.23 GB
- SHA256:
- 1d1544e3a0cc8b840bd2a37e7f890be0dd01da1eee4d284ac17fc9972c106cb6
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