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### Tested versions
- Reproducible in 3.1
### System information
linux - pyannote 3.1
### Issue description
Unable to instantiate parameters on trained pipeline
Code for fine tuning :
```
…
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Epoch: 2 - loss: 0.2649 - valid_loss: 0.2187
-----------------------------------------------------------------------
Traceback (most recent call last):
File "train_bert_multi_label.py", line 14…
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we follow doc here
https://docs.nvidia.com/datacenter/dcgm/latest/dcgm-user-guide/integrating-with-dcgm.html#starting-prometheus-client
and looks like the new version of datacenter-gpu-manager h…
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Hi,
while testing the seq2seq model on toy data set, I am getting the following error--
E tensorflow/core/common_runtime/direct_session.cc:137] Internal: failed initializing StreamExecutor for CUD…
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These can get a leg up by using the existing pl-en (#61) and fr-en (#60) models that have already built their teacher systems, which should then be used for back translation. Note that forward transl…
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## 🚀 Feature
Similar to what already exists in Keras and PytorchLightning, a callback to save the model or model weights at some frequency, which would allow monitoring using loss.
## Motivation…
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Allows you to detect fraudulent activity in vendor payments, financial statements, etc. The employees can use web forms and whistleblower hotlines to alert management about fraud
Implements surv…
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I read your project proposal. Your project is clear in terms of scope. However, it looks like a very straightforward project, which is not bad, but I want you guys to learn more.
So, here are two …
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KTLG reference https://github.com/ktlg/tickets-integration/issues/659
Tenant reference https://github.com/ken9ross/ktlg-trng/issues/190
Testing supply feedback command
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Hi,
I was wondering if I could include the ray tune (hyper-parameter search) library as either a callback or in the base trainer class to look for the right hyper-parameters for a model and even st…