🐛 Describe the bug
When I run the simple parse_pdf.ipynb, it gives me the error: Error: 401 {"detail":"Invalid API key"}
I am using the api key that I have generated using the https://www.cambioml.com/en/account.
Versions
Collecting environment information...
PyTorch version: 2.5.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: macOS 15.4.1 (arm64)
GCC version: Could not collect
Clang version: 16.0.0 (clang-1600.0.26.6)
CMake version: version 3.27.1
Libc version: N/A
Python version: 3.12.2 (main, Mar 13 2024, 11:52:10) [Clang 15.0.0 (clang-1500.1.0.2.5)] (64-bit runtime)
Python platform: macOS-15.4.1-arm64-arm-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Apple M2 Max
Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==2.2.3
[pip3] onnx==1.17.0
[pip3] onnxruntime==1.20.1
[pip3] optree==0.13.1
[pip3] tf2onnx==1.16.1
[pip3] torch==2.5.1
[pip3] torchvision==0.20.1
[conda] numpy 2.2.2 pypi_0 pypi
[conda] numpydoc 1.8.0 pyhd8ed1ab_1 conda-forge
[conda] torchvision 0.15.2 pypi_0 pypi
🐛 Describe the bug
When I run the simple parse_pdf.ipynb, it gives me the error: Error: 401 {"detail":"Invalid API key"}
I am using the api key that I have generated using the https://www.cambioml.com/en/account.
Versions
Collecting environment information...
PyTorch version: 2.5.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: macOS 15.4.1 (arm64)
GCC version: Could not collect
Clang version: 16.0.0 (clang-1600.0.26.6)
CMake version: version 3.27.1
Libc version: N/A
Python version: 3.12.2 (main, Mar 13 2024, 11:52:10) [Clang 15.0.0 (clang-1500.1.0.2.5)] (64-bit runtime)
Python platform: macOS-15.4.1-arm64-arm-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Apple M2 Max
Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==2.2.3
[pip3] onnx==1.17.0
[pip3] onnxruntime==1.20.1
[pip3] optree==0.13.1
[pip3] tf2onnx==1.16.1
[pip3] torch==2.5.1
[pip3] torchvision==0.20.1
[conda] numpy 2.2.2 pypi_0 pypi
[conda] numpydoc 1.8.0 pyhd8ed1ab_1 conda-forge
[conda] torchvision 0.15.2 pypi_0 pypi