Instructions to use fehime/arma-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fehime/arma-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="fehime/arma-model") 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("fehime/arma-model") model = AutoModelForZeroShotImageClassification.from_pretrained("fehime/arma-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 116 Bytes
b9cc3ca | 1 2 3 4 5 6 7 | {
"__version__": {
"sentence_transformers": "2.0.0",
"transformers": "4.6.0",
"pytorch": "1.7.1"
}
} |