Instructions to use SkillScreen/SkillScreen-2B-SD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-SD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-SD")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-SD") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-SD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download requirements.txt from SkillScreen/SkillScreen-2B-SD: direct link, hf CLI and curl.
- Browser
- Download file 62 Bytes
-
https://huggingface.co/SkillScreen/SkillScreen-2B-SD/resolve/main/requirements.txt
- Command line
-
hf download hf://SkillScreen/SkillScreen-2B-SD/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/SkillScreen/SkillScreen-2B-SD/resolve/main/requirements.txt
62 Bytes
| torch==2.11.0 | |
| transformers==5.17.0 | |
| huggingface_hub==1.33.0 | |