Instructions to use Cesar42/xlm-roberta-emotion-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cesar42/xlm-roberta-emotion-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cesar42/xlm-roberta-emotion-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cesar42/xlm-roberta-emotion-es") model = AutoModelForSequenceClassification.from_pretrained("Cesar42/xlm-roberta-emotion-es") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot