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# Keywords
Pre-training for Retriever
# TL;DR
A method of jointly fine-tuning the retriever and reader in an end-to-end manner for the question-answer dataset after pre-training the retriever
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We tried to follow the [Dell example](https://github.com/mlcommons/training_results_v1.1/tree/main/Dell/benchmarks/bert/implementations/pytorch) to reproduce the Bert Training Benchmark on a server wi…
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Hi!
Let's bring the documentation to all the Malay-speaking community 🌐 (currently 0 out of 267 complete)
Who would want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.…
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### Feature request
As per #28981, LLaVA is planned to receive `torch.compile` support. Seeing to the fact that LLaVA is composed of a vision tower and a LLM, both of which can be separately compiled…
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Hi,
Thanks for the excellent code, when I inference the pictures, My program output is:
**KeyError: 'relative_path'**
Then I found "relative_path" is a key of "data_i", but when I print data_…
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Dear developers
First of all, congrats for this work. Is what i was looking for use as it give me easy to use tools.
I have data that i use in maxent modelling with no issue.
Using your package a…
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https://ojs.aaai.org/index.php/AAAI/article/view/25470
- [x] sync, pull and merge master first!
- [x] Search for the correct citation on Semantic Scholar
- [x] Make a new branch ("You should alw…
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For applications other than MT (e.g., image captioning, conversation modeling, etc.) it's crucial to prevent UNK from being generated at inference time. For greedy decoding, I could fix this by modify…
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![image](https://user-images.githubusercontent.com/52986798/234012132-d7f660c1-ba5e-4c23-b4af-6187fd80dab1.png)
# Abstract
We mask random patches of the input image and reconstruct the missing pix…
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# Semantically Consistent Video Inpainting with Conditional Diffusion Models