Text Classification
Transformers
Safetensors
English
distilbert
sentiment-analysis
sequence-classification
academic-peer-review
openreview
text-embeddings-inference
Instructions to use EvilScript/academic-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EvilScript/academic-sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EvilScript/academic-sentiment-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EvilScript/academic-sentiment-classifier") model = AutoModelForSequenceClassification.from_pretrained("EvilScript/academic-sentiment-classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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If you use this model, please cite the project:
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```bibtex
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```
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If you use this model, please cite the project:
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```bibtex
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@misc{federico_torrielli_2025,
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author = { Federico Torrielli and Stefano Locci },
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title = { academic-sentiment-classifier },
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year = 2025,
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url = { https://huggingface.co/EvilScript/academic-sentiment-classifier },
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doi = { 10.57967/hf/6535 },
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publisher = { Hugging Face }
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}
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```
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