Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mljn/roberta-economy-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mljn/roberta-economy-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mljn/roberta-economy-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mljn/roberta-economy-classifier") model = AutoModelForSequenceClassification.from_pretrained("mljn/roberta-economy-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 287159ff2141221d284f94861d065974243d9cd5a53f047d65007b6431134506
- Size of remote file:
- 16.8 MB
- SHA256:
- 37b85d1e48dc84348282af92f48e6e3a4958a1db80bb69787f67cddf9e942c6c
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