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We can output the progress bar using `--verbose` in cli.
However, can I enable the progress bar when invoking function?
For examle:
```python
whisper_model = whisperx.load_model('large-v2', …
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Thanks for providing this great code base. Is there a simple example of how to use run inference with one of the pre-trained models?
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[Improved text ranking with few shot prompting](https://blog.vespa.ai/improving-text-ranking-with-few-shot-prompting/)
- This blog post discusses using large language models (LLMs) to generate labe…
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### Summary
# Motivation
WasmEdge is a lightweight inference runtime for AI and LLM applications. Build specialized and finetuned models for WasmEdge community. The model should be supported by Wa…
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Can ipex-llm-0.43.1 run on Centos7.9? I encountered an error:Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.Error: Failed to load …
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Hi, I have a question about the learning rate in the example "word_language_model",
the init lr = 20, which seems very large, can you tell me why lr is set to equal 20?
Thanks a lot!
If you have …
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Remember, an issue is not the place to ask questions. You can use our [Slack channel](https://github.com/OWASP/www-project-top-10-for-large-language-model-applications/wiki) for that, or you may want …
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I really appreciate your contribution and dedication to advancing large-scale language modeling in Japanese.
Would you kindly provide the bibliographic infromation of the JP Language Model Evaluati…
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## 집현전 중급반 스터디
- 2022년 4월 17일 일요일 9시
- 김택현님 신원지님 한나연님 한다솜님 발표
- 논문 링크: https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf
> ### Abstract
> Natural lan…
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@QianHaosheng @bugtig6351 @yuanpcr you can list all potential metrics for the `generate` task in this issue. For more details about the `generate` task, you can refer to issue #12 .