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FernandoMacia
/

Modelo2

Image Classification

Model card Files Files and versions

Instructions to use FernandoMacia/Modelo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FernandoMacia/Modelo2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="FernandoMacia/Modelo2")
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("FernandoMacia/Modelo2")
model = AutoModelForImageClassification.from_pretrained("FernandoMacia/Modelo2")

Notebooks
Google Colab
Kaggle

How to use from the

Use from the

Transformers library

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="FernandoMacia/Modelo2")
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("FernandoMacia/Modelo2")
model = AutoModelForImageClassification.from_pretrained("FernandoMacia/Modelo2")

Quick Links

Read model documentation
Read docs on high-level-pipeline
Read our learning resources

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