Instructions to use SkillScreen/SkillScreen-2B-MSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-MSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-MSD")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-MSD") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-MSD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adopt Apache-2.0 weights/code and CC BY 4.0 documentation; add citations
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Link SkillScreen paper
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6 days ago
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Keep model card concise
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Add verified seed-42 full model and original adapter
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initial commit
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