Text Classification
Transformers
PyTorch
Safetensors
English
roberta
emotions
multi-class-classification
multi-label-classification
text-embeddings-inference
Instructions to use meetplace1/emotiondetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meetplace1/emotiondetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="meetplace1/emotiondetector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("meetplace1/emotiondetector") model = AutoModelForSequenceClassification.from_pretrained("meetplace1/emotiondetector") - Notebooks
- Google Colab
- Kaggle