Instructions to use ForumCore/finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ForumCore/finetuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ForumCore/finetuned_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("ForumCore/finetuned_model") model = AutoModelForImageClassification.from_pretrained("ForumCore/finetuned_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7bde1add9578b9b7feb1f2c885d35f5096a8f13d2e2e69a52e93240effe46b2
- Size of remote file:
- 5.3 kB
- SHA256:
- d4020f1e5b00e39bc4e0e76ede46a3388995f3ec714256518efd0ac52098dbd1
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