Text Classification
Transformers
Safetensors
English
qwen3_moe
biology
calibration
scientific-reasoning
custom_code
Instructions to use EdisonScientific/Ibis0-30B-A3B-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EdisonScientific/Ibis0-30B-A3B-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EdisonScientific/Ibis0-30B-A3B-Classifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EdisonScientific/Ibis0-30B-A3B-Classifier", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("EdisonScientific/Ibis0-30B-A3B-Classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
6 days ago
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Simplify classifier description and remove results section
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7 days ago
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Remove limitations section from model card
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Document repository setup and clarify model usage
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Complete paper author list
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8 days ago
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Model card
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initial commit
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