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### 🐛 Describe the bug
Category | Name | XPU eager | XPU inductor | Inductor vs. Eager [XPU] | CUDA eager | CUDA inductor | Inductor vs. Eager [CUDA] | XPU vs. CUDA [Eager] | XPU vs. CUDA [Induct…
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代码注释里很多乱码,建议作者统一使用utf8编码
```
Original issue reported on code.google.com by `fancyc...@gmail.com` on 29 Apr 2009 at 1:15
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```
代码注释里很多乱码,建议作者统一使用utf8编码
```
Original issue reported on code.google.com by `fancyc...@gmail.com` on 29 Apr 2009 at 1:15
-
```
代码注释里很多乱码,建议作者统一使用utf8编码
```
Original issue reported on code.google.com by `fancyc...@gmail.com` on 29 Apr 2009 at 1:15
-
```
代码注释里很多乱码,建议作者统一使用utf8编码
```
Original issue reported on code.google.com by `fancyc...@gmail.com` on 29 Apr 2009 at 1:15
-
```
代码注释里很多乱码,建议作者统一使用utf8编码
```
Original issue reported on code.google.com by `fancyc...@gmail.com` on 29 Apr 2009 at 1:15
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Dashboard to track the performance of torchinductor on CPU.
cc @ezyang @msaroufim @wconstab @bdhirsh @anijain2305 @zou3519 @soumith @ngimel @chauhang
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### Issues Policy acknowledgement
- [x] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md)
### Willi…
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The new 3.1 models download but then wont load on the standalone. The work fine here on 1111
DepthMap v0.4.4 (5250c8b7)
device: cuda
Loading model(s) ..
Loading model weights from ./models/mid…
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**Describe the bug**
Model I am using UniLM:
I use the following code to load the model.
```
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("micro…