Instructions to use Saul98lm/prueba2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saul98lm/prueba2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Saul98lm/prueba2") 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("Saul98lm/prueba2") model = AutoModelForImageClassification.from_pretrained("Saul98lm/prueba2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
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Librarian Bot: Update Hugging Face dataset ID
#3 opened about 2 years ago
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Adding `safetensors` variant of this model
#2 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot