Instructions to use faisalabidi/hotel-image-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faisalabidi/hotel-image-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="faisalabidi/hotel-image-classifier") 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("faisalabidi/hotel-image-classifier") model = AutoModelForImageClassification.from_pretrained("faisalabidi/hotel-image-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8a5eef641bb015c5ea524fbcce8954d7639d488f8af2f6c65458c30592344ed
- Size of remote file:
- 343 MB
- SHA256:
- 8611aa3dd696862e5daf8ef52ca20f780fd61aa3df40885e1d3ce91d710a2233
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