Instructions to use arj9719/robertuito_topic_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arj9719/robertuito_topic_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arj9719/robertuito_topic_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arj9719/robertuito_topic_classification") model = AutoModelForSequenceClassification.from_pretrained("arj9719/robertuito_topic_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 103 Bytes
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language:
- es
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
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