Text Classification
Transformers
Safetensors
English
Spanish
multilingual
xlm-roberta
emotion-classification
spanish
english
Eval Results (legacy)
text-embeddings-inference
Instructions to use mario-rc/multilingual-emotional-classifier-xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mario-rc/multilingual-emotional-classifier-xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mario-rc/multilingual-emotional-classifier-xlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mario-rc/multilingual-emotional-classifier-xlm-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("mario-rc/multilingual-emotional-classifier-xlm-roberta-large") - Notebooks
- Google Colab
- Kaggle
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