Text Classification
Transformers
Safetensors
PyTorch
English
distilbert
emotion-analysis
mac-m4-test
text-embeddings-inference
Instructions to use tourcoder/distilbert-base-uncased-finetuned-emotion-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tourcoder/distilbert-base-uncased-finetuned-emotion-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tourcoder/distilbert-base-uncased-finetuned-emotion-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tourcoder/distilbert-base-uncased-finetuned-emotion-analysis") model = AutoModelForSequenceClassification.from_pretrained("tourcoder/distilbert-base-uncased-finetuned-emotion-analysis") - Notebooks
- Google Colab
- Kaggle
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