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I still think we should have cleaners defined on the `everyvoice.config.text_config.TextConfig` but we should rename them to `global_cleaners` and `global_to_replace`. There are some cleaners/to_repla…
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## Expected Behavior
When I add the following XSLT template with `` to a DITA-OT stylesheet (such as `topicpull` or `html5`):
```xslt
BEGIN----END
```
I expect to see XML copies of …
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**Describe the bug**
When defining a value for `repetition_penalty` & fine-tuning the model, predictions fail with the following error:
```
Prediction: 0%| …
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Pytesseract struggles with a lot of invoices, some very big clear text are unable to be read.
This is somewhat addressable by doing some preprocessing in cv like adding blurs, threshold, but requir…
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The code is not working in google colab.I have installed all the things but the code is not running. !pip install evalml !pip install featuretools pip install -U evalml and !pip install --upgrade eval…
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Hi,
I am running train.py, and this line of code complains the input is a directory. `complex_names_all = read_strings_from_txt(self.split_path)`
The original code snippet, read_strings_from_t…
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To generate text prompt based scenes i have to run generate_text.sh file?
but it doesnt include any text prompt function.
and it used generate_diffusion.py which also doesnt have any text prompt fu…
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I want to use [this model](https://huggingface.co/ibm/MoLFormer-XL-both-10pct) as an encoder. As you can see from the description, the model can be uploaded like:
```
model = AutoModel.from_pretrain…
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In navbars, one can only use text or icon to create an item, but not both. depending on the context, either the icon or the text will "win".
* for top-level items, only the icon is considered
* f…
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Hello! Thank you for such an amazing tool.
I am trying to implement it for my task: i want model to generate texts according to one of three sentiments: positive, neutral, negative. I am not sure …