Instructions to use SkillScreen/SkillScreen-2B-Package-Experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-Package-Experimental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-Package-Experimental")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-Package-Experimental") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-Package-Experimental", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/package_inputs.cpython-312.pyc from SkillScreen/SkillScreen-2B-Package-Experimental: direct link, hf CLI and curl.
- Browser
- Download file 16.9 kB
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https://huggingface.co/SkillScreen/SkillScreen-2B-Package-Experimental/resolve/main/__pycache__/package_inputs.cpython-312.pyc
- Command line
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hf download hf://SkillScreen/SkillScreen-2B-Package-Experimental/__pycache__/package_inputs.cpython-312.pyc
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curl -L -o package_inputs.cpython-312.pyc https://huggingface.co/SkillScreen/SkillScreen-2B-Package-Experimental/resolve/main/__pycache__/package_inputs.cpython-312.pyc
16.9 kB
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