Text Classification
Transformers
Safetensors
English
distilbert
emotion
PyTorch
text-embeddings-inference
Instructions to use lucky377/emotion_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucky377/emotion_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lucky377/emotion_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lucky377/emotion_classifier") model = AutoModelForSequenceClassification.from_pretrained("lucky377/emotion_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
e47f7cb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:881a51c711fcfdeead2a33d420b7317e3cb01bab7f218c6dd71bbbf4e98c211b
size 535753803
|