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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EvilScript/academic-sentiment-classifier") model = AutoModelForSequenceClassification.from_pretrained("EvilScript/academic-sentiment-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from EvilScript/academic-sentiment-classifier: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/EvilScript/academic-sentiment-classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://EvilScript/academic-sentiment-classifier/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/EvilScript/academic-sentiment-classifier/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.