Instructions to use Andron00e/CLIPForImageClassification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andron00e/CLIPForImageClassification-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Andron00e/CLIPForImageClassification-v1") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("Andron00e/CLIPForImageClassification-v1") model = AutoModelForImageClassification.from_pretrained("Andron00e/CLIPForImageClassification-v1") - Notebooks
- Google Colab
- Kaggle
File size: 190 Bytes
6d9d70a | 1 2 3 4 5 6 7 8 | {
"epoch": 4.0,
"eval_accuracy": 0.8255,
"eval_loss": 0.8115136623382568,
"eval_runtime": 61.4944,
"eval_samples_per_second": 97.57,
"eval_steps_per_second": 12.196
} |