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Hey guys,
Thanks for making your work public. I'm wondering if you have or will be exploring LLMs other than GPT4 for your evaluations. For instance, you've used Llama 3 in your benchmarks, would y…
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Sorry if I did not find the relevant information by perusing the documentation but is there an easy way to produce a raw text output (without any markdown formatting at all)? It seems to me I can impl…
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# NLP from Scratch with PyTorch, fastai, and HuggingFace | Epoching’s Blog
A technical NLP tutorial using a variety of libraries to show the different levels/layers of common NLP pipelines
[https://…
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# Towards a Tagalog NLP pipeline
In the age of big data and large language models, building NLP pipelines for Tagalog is still difficult. In this blog post, I'll report my progress on buildi...
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Hi
I am getting an error when running the example
```
from onnx_transformers import pipeline
# Initialize a pipeline by passing the task name and
# set onnx to True (default value is also …
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The text splitter is working well, however, parsed input in not entering the models correctly.
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## 다섯 번째 과제: Pipeline으로 다양한 NLP task 수행하기
회합 자료 링크: https://github.com/HanyangTechAI/2023-Deep-Learning-Study/issues/1#issuecomment-1543509702
![image](https://github.com/HanyangTechAI/2023-Deep-L…
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this requires creating 2 new nlp models based off of what we have so far. With 2 new devops pipelines and folders. training the models can be done with slight modification to the existing code.
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Fantastic job!
I am wondering how to generate questions with answer given using the pretrained model (either prepend or highlight), i.e,
```
nlp = pipeline("question-generation", model="valhalla…
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Amazing project, thank you so much for `presidio` and all of the work here.
I am noticing with a few different Hugging Face transformer models, that some of the listed entities associated with the …