Instructions to use Finisha-LLM/Two-fruita-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finisha-LLM/Two-fruita-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Finisha-LLM/Two-fruita-classify") 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("Finisha-LLM/Two-fruita-classify") model = AutoModelForImageClassification.from_pretrained("Finisha-LLM/Two-fruita-classify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Oct18_14-36-31_r-clemylia-autotrain-advanced-zardyttj-0c460-1mwcx/events.out.tfevents.1760798193.r-clemylia-autotrain-advanced-zardyttj-0c460-1mwcx.65.0
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