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:
- 884b0e7d747cd50cabd6ebdaefaa55d83b3cf2897e29aeb56cee376849b30f15
- Size of remote file:
- 343 MB
- SHA256:
- c9ad82364fd4c7e69e7177c39f1d3ca4fd6ec87158206d825c0bee3130d475dc
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