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Perform summarisation (abstractive) using baseline models (encoder decoder and decoder only) from hugging face and then note the learnings and behaviour.
Different techniques :
1. 0 shot learning…
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I see that OpenXLab has issues every day, is it possible that you hot DIffBIR on hugging face or replicate?
They're more reliable
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I downloaded the installation file v3.0 from the releases section.
And installed it on a pc without internet access.
During the end of the installation it needed to download lots of models. I just c…
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Current error:
```
Traceback (most recent call last):
File "/lfs/ampere3/0/brando9/diversity-for-predictive-success-of-meta-learning/div_src/diversity_src/experiment_mains/main_maml_torchmeta.py"…
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use a custom model from hugging face or google drive or add contolnet models and even loras would be amazing
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Hi! I wonder if you have plan to share model weight of your new paper at huggingface?
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I'd like to use the Adafactor scheduler as the hugging face code has (but their code does not work for CNNS).
questions as follow:
a) How do I use schedulers with pytorch-optimizer?
b) Can we ad…
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按照uread的方式加载了hugging face上的预训练的模型。输入了一张简单的图片:
![424777-PE9BDR-101](https://github.com/X-PLUG/mPLUG-DocOwl/assets/52987805/17a36919-ffbc-4c26-ab73-bafb64cd57e5)
结果输出的是看不懂的东西:
![iwEdAqNwbmcDAQTRA7o…
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inference was released, so we can now integration this: https://aws.amazon.com/blogs/machine-learning/announcing-managed-inference-for-hugging-face-models-in-amazon-sagemaker/
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Which LLaMA 7b model was used?
Is it available on Hugging face?
Thank you. I am trying to reproduce your success