Model Details
Full Model IDj-hartmann/emotion-english-distilroberta-base
Pipeline / Tasktext-classification
Librarytransformers
Downloads (all-time)886.0K
Likes496
Last Modified1/2/2023
Author / Orgj-hartmann
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerspytorchtfrobertatext-classificationdistilrobertasentimentemotiontwitterredditenarxiv:2210.00434text-embeddings-inferenceendpoints_compatibledeploy:azureregion:us
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Open on Hugging Face →Browse Model Files ↗�� Browse All Models����� Task: Text Classification
This model is designed for the Text Classification task. Explore more models for this use case.
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⬇ Downloads886.0K
����� Community Likes496
🛠�� Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.