Instructions to use frgx/chabular-chart-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frgx/chabular-chart-type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="frgx/chabular-chart-type") 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("frgx/chabular-chart-type") model = AutoModelForImageClassification.from_pretrained("frgx/chabular-chart-type") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb0f467f9b671dab859589d4b6a8b8091a04e5656822d6b280549bbb59951361
- Size of remote file:
- 343 MB
- SHA256:
- e1d6d18e8cfde4d1430e9afb1c11c2306701cba1df008ffd89c6cfcfcbf7d99b
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