Instructions to use andyluan/emotion-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyluan/emotion-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andyluan/emotion-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andyluan/emotion-detection") model = AutoModelForSequenceClassification.from_pretrained("andyluan/emotion-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e24ed9804b5810794397e23db2b17712668ae317cc87bcb483e9baea94d0f5d
- Size of remote file:
- 1.12 GB
- SHA256:
- 33c0d0cf104043a8319d218f79186f9a245c78b71073eb282cf963289f37fd00
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