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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KoalaAI/Emoji-Suggester") model = AutoModelForSequenceClassification.from_pretrained("KoalaAI/Emoji-Suggester", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KoalaAI/Emoji-Suggester: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/KoalaAI/Emoji-Suggester/resolve/main/tokenizer.json
- Command line
-
hf download hf://KoalaAI/Emoji-Suggester/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KoalaAI/Emoji-Suggester/resolve/main/tokenizer.json
8.66 MB
- Xet hash:
- 1ad83d01d03e5da3c52cded7347509b5f19130fa83375df053824a0a25d6e08b
- Size of remote file:
- 8.66 MB
- SHA256:
- 4cc5a4f5b0be46bb77c12eeae3959316af6f2f567f647f0ea3af9434a4adf372
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