Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use saattrupdan/verdict-classifier-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saattrupdan/verdict-classifier-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saattrupdan/verdict-classifier-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saattrupdan/verdict-classifier-en") model = AutoModelForSequenceClassification.from_pretrained("saattrupdan/verdict-classifier-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a80c7996b70db84a4f718454123aee92a98640a036dbf04bf09264e5855cb2e1
- Size of remote file:
- 2.93 kB
- SHA256:
- 2c8a18114a1279b890265856c293b09eaf72585393ceb63e0fb492268a38084b
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