Python crashes when loading Bert model from pretrained
Hello all, I am here because I am encountering a outmost obscure problem.  Right when I begin by creating my model I encounter that my gpu usage spikes and then my python code crashes. This only happens when I try to use any of the models 'from_pretrained' only, I haven't had issues with neither Tensorflow nor PyTourch by themselves (this behavior is only native to transformers) 

For example: 
The problem arises when running this line of code, right at the beginning of my script ;
model = TFBertForSequenceClassification.from_pretrained('bert-base-uncased')

I get the following messages, which are pretty standard but as you can see in the bottom the code simply stops.
<
2021-04-16 16:16:35.330093: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2021-04-16 16:16:38.495667: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library nvcuda.dll
2021-04-16 16:16:38.519178: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1760] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: GeForce GTX 1060 computeCapability: 6.1
coreClock: 1.6705GHz coreCount: 10 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 178.99GiB/s
2021-04-16 16:16:38.519500: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2021-04-16 16:16:38.528695: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2021-04-16 16:16:38.528923: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2021-04-16 16:16:38.533582: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll
2021-04-16 16:16:38.535368: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll
2021-04-16 16:16:38.540093: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusolver64_10.dll
2021-04-16 16:16:38.543728: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll
2021-04-16 16:16:38.544662: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2021-04-16 16:16:38.544888: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1898] Adding visible gpu devices: 0
2021-04-16 16:16:38.545436: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-04-16 16:16:38.546588: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1760] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: GeForce GTX 1060 computeCapability: 6.1
coreClock: 1.6705GHz coreCount: 10 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 178.99GiB/s
2021-04-16 16:16:38.547283: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1898] Adding visible gpu devices: 0
2021-04-16 16:16:39.115250: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1300] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-04-16 16:16:39.115490: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1306]      0 
2021-04-16 16:16:39.115592: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1319] 0:   N 
2021-04-16 16:16:39.115856: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1446] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4634 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1060, pci bus id: 0000:01:00.0, compute capability: 6.1)
2021-04-16 16:16:39.419407: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2021-04-16 16:16:39.709427: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll

Process finished with exit code -1073741819 (0xC0000005)
>

Has any one else seen this? There something I am missing here?
Thank you for your help.

Here are the details of my system.
- `transformers` version: Latest
- Platform: Windows
- Python version: 3.7
- PyTorch version (GPU?): Latest
- Tensorflow version (GPU?): Latest
- Using GPU in script?: Yes, GeForce GTX 1060 computeCapability: 6.1
- Using distributed or parallel set-up in script?: No

Models I encountered this error on:
- albert, bert, xlm:

Libraries that are related to this issue:
- text classification: @patrickvonplaten
- trainer: @sgugger
- pipelines: @LysandreJik



Is it possible you're running out of RAM (not necessarily GPU RAM)?<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.