Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use saattrupdan/verdict-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saattrupdan/verdict-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saattrupdan/verdict-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saattrupdan/verdict-classifier") model = AutoModelForSequenceClassification.from_pretrained("saattrupdan/verdict-classifier", 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 (b90ad31b671ba9849ac6ab31e7c485234a914fba) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>4f8ed9a
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