Image Classification
timm
PyTorch
Safetensors
English
chart
charts
fintwit
stocks
crypto
finance
financial
financial charts
graphs
financial graphs
plot
plots
financial plots
cryptocurrency
image-recognition
recognition
Eval Results (legacy)
Instructions to use StephanAkkerman/chart-recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use StephanAkkerman/chart-recognizer with timm:
import timm model = timm.create_model("hf-hub:StephanAkkerman/chart-recognizer", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from StephanAkkerman/chart-recognizer: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/StephanAkkerman/chart-recognizer/resolve/8a3da98d76c238b1960d33ac297a901191eead29/pytorch_model.bin
- Command line
-
hf download hf://StephanAkkerman/chart-recognizer@8a3da98d76c238b1960d33ac297a901191eead29/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/StephanAkkerman/chart-recognizer/resolve/8a3da98d76c238b1960d33ac297a901191eead29/pytorch_model.bin
16.3 MB
- Xet hash:
- e377394826defbdcfbf15666304868f87cc0a12224bcf5081c9d66f56872ecd3
- Size of remote file:
- 16.3 MB
- SHA256:
- d8306127a7800c0996d20c733e9988585d23760b4effd2dcd5a3912fc0265fb7
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