Instructions to use drift-ai/drawify-snapsearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drift-ai/drawify-snapsearch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="drift-ai/drawify-snapsearch") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("drift-ai/drawify-snapsearch") model = AutoModelForZeroShotImageClassification.from_pretrained("drift-ai/drawify-snapsearch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from drift-ai/drawify-snapsearch: direct link, hf CLI and curl.
- Browser
- Download file 2.22 MB
-
https://huggingface.co/drift-ai/drawify-snapsearch/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://drift-ai/drawify-snapsearch@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/drift-ai/drawify-snapsearch/resolve/refs%2Fpr%2F1/tokenizer.json
2.22 MB
File too large to display, you can check the raw version instead.