Text Classification
Transformers
Safetensors
PyTorch
distilbert
goemotions
emotion-classification
text-embeddings-inference
Instructions to use Shahzad1/go_emotions_model_bert1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shahzad1/go_emotions_model_bert1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shahzad1/go_emotions_model_bert1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shahzad1/go_emotions_model_bert1") model = AutoModelForSequenceClassification.from_pretrained("Shahzad1/go_emotions_model_bert1") - Notebooks
- Google Colab
- Kaggle
Ctrl+K