Instructions to use Marcblanes/iabdmarcblanes_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marcblanes/iabdmarcblanes_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Marcblanes/iabdmarcblanes_model") 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("Marcblanes/iabdmarcblanes_model") model = AutoModelForImageClassification.from_pretrained("Marcblanes/iabdmarcblanes_model") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("Marcblanes/iabdmarcblanes_model")
model = AutoModelForImageClassification.from_pretrained("Marcblanes/iabdmarcblanes_model")Quick Links
README.md exists but content is empty.
- Downloads last month
- 9
Model tree for Marcblanes/iabdmarcblanes_model
Base model
omarques/autotrain-dogs-and-cats-1527055142
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Marcblanes/iabdmarcblanes_model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")