Instructions to use SkillScreen/SkillScreen-2B-SBR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-SBR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-SBR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-SBR") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-SBR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- Add link to paper (5d9ee7415f0508be4d62d1d5eb677bb70e600f71) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>7a89606
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