Instructions to use facebook/convnext-tiny-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-tiny-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-tiny-224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("facebook/convnext-tiny-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-tiny-224") - Inference
- Notebooks
- Google Colab
- Kaggle
Add TF weights
#5 opened almost 3 years ago
by
mochi75
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
by
SFconvertbot
Flax implementation https://github.com/huggingface/transformers/pull/21485 @sanchit-gandhi
1
#3 opened about 3 years ago
by
Shubhamai
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot