Text Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
Trained with AutoTrain
emoji
sentiment
text-embeddings-inference
Instructions to use KoalaAI/Emoji-Suggester with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoalaAI/Emoji-Suggester with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KoalaAI/Emoji-Suggester")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KoalaAI/Emoji-Suggester") model = AutoModelForSequenceClassification.from_pretrained("KoalaAI/Emoji-Suggester") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de540c876a8469f5bd03402ea4288ed0688ad7280f8ac4846b70e329d52305bb
- Size of remote file:
- 738 MB
- SHA256:
- 030af77411001e1d2c47c6e2066ea7709a70de914eed0768d11bfb0667041472
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