Instructions to use SkillScreen/SkillScreen-2B-Package with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-Package with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-Package")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-Package") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-Package", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download evaluation-oof.csv from SkillScreen/SkillScreen-2B-Package: direct link, hf CLI and curl.
- Browser
- Download file 1.71 MB
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https://huggingface.co/SkillScreen/SkillScreen-2B-Package/resolve/main/evaluation-oof.csv
- Command line
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hf download hf://SkillScreen/SkillScreen-2B-Package/evaluation-oof.csv
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curl -L -o evaluation-oof.csv https://huggingface.co/SkillScreen/SkillScreen-2B-Package/resolve/main/evaluation-oof.csv
1.71 MB
File too large to display, you can check the raw version instead.