Instructions to use ArthurZ/Darwin-27B-ZTC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthurZ/Darwin-27B-ZTC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="ArthurZ/Darwin-27B-ZTC")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthurZ/Darwin-27B-ZTC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decision_test.json from ArthurZ/Darwin-27B-ZTC: direct link, hf CLI and curl.
- Browser
- Download file 3.35 kB
-
https://huggingface.co/ArthurZ/Darwin-27B-ZTC/resolve/main/decision_test.json
- Command line
-
hf download hf://ArthurZ/Darwin-27B-ZTC/decision_test.json
-
curl -L -o decision_test.json https://huggingface.co/ArthurZ/Darwin-27B-ZTC/resolve/main/decision_test.json
3.35 kB
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