Text Classification
Transformers
Safetensors
English
emoaxis
feature-extraction
multi-label-classification
fine-grained
emotion-classification
custom_code
Eval Results (legacy)
Instructions to use Hidden-States/roberta-base-emopillars-contextless with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hidden-States/roberta-base-emopillars-contextless with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hidden-States/roberta-base-emopillars-contextless", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hidden-States/roberta-base-emopillars-contextless", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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