Instructions to use FriendlyBohen/test-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FriendlyBohen/test-run with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="FriendlyBohen/test-run")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("FriendlyBohen/test-run") model = AutoModelForZeroShotObjectDetection.from_pretrained("FriendlyBohen/test-run", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from FriendlyBohen/test-run: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/FriendlyBohen/test-run/resolve/main/tokenizer.json
- Command line
-
hf download hf://FriendlyBohen/test-run/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/FriendlyBohen/test-run/resolve/main/tokenizer.json
712 kB
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