Instructions to use SkillJev/SkillJev-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillJev/SkillJev-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillJev/SkillJev-2B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillJev/SkillJev-2B") model = AutoModelForSequenceClassification.from_pretrained("SkillJev/SkillJev-2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
8 days ago
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Update README.md
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11 days ago
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Release SkillJev-Direct v1 full model and original adapter
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Stage merged SkillJev-Direct v1 weights
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Move compact team credit to the end of the model card
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Credit SkillJev team and Team Lead
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Simplify Direct model card and report frozen SBR results
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14 days ago
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Keep training metadata pending until weights exist
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Initialize SkillJev-2B project card
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initial commit
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