Instructions to use nonsodev/datrix-image-classification-job_be9b4baa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nonsodev/datrix-image-classification-job_be9b4baa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nonsodev/datrix-image-classification-job_be9b4baa") 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("nonsodev/datrix-image-classification-job_be9b4baa") model = AutoModelForImageClassification.from_pretrained("nonsodev/datrix-image-classification-job_be9b4baa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6017a4f3426fe3d383a0b0aa2681bc5f7269c571b57ab4b96e24f7a1861cef28
- Size of remote file:
- 5.33 kB
- SHA256:
- 2b5065a4dd6d2a846ee8525e0342e9cfa79273f639a296950a2df85a99c0d0c2
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