Text Classification
Transformers
PyTorch
Spanish
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use UDA-LIDI/roberta_emergency_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UDA-LIDI/roberta_emergency_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UDA-LIDI/roberta_emergency_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UDA-LIDI/roberta_emergency_classification") model = AutoModelForSequenceClassification.from_pretrained("UDA-LIDI/roberta_emergency_classification") - Notebooks
- Google Colab
- Kaggle
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