Text Classification
Transformers
ONNX
Safetensors
Spanish
roberta
emotion-detection
spanish
tiktok
sentiment-analysis
robertuito
social-media
Eval Results (legacy)
text-embeddings-inference
Instructions to use FalexOne/robertuito-emociones-tiktok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FalexOne/robertuito-emociones-tiktok with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FalexOne/robertuito-emociones-tiktok")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FalexOne/robertuito-emociones-tiktok") model = AutoModelForSequenceClassification.from_pretrained("FalexOne/robertuito-emociones-tiktok") - Notebooks
- Google Colab
- Kaggle
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