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Hi team,
I would like to use the LogitsPostProcessor in the [C++ Executor API](https://github.com/NVIDIA/TensorRT-LLM/blob/main/cpp/include/tensorrt_llm/executor/executor.h) to control the generatio…
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Hello,
I am very impressed with the demo website. To better understand the capabilities and performance of the system, could you please provide the technical specifications used in the demo?
Sp…
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### Describe the bug
```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_fol…
fscdc updated
3 weeks ago
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Hello, I am very interested in your article, but I have encountered some problems in the reproduction of the model. I wonder if you have encountered these situations? The following is the partial erro…
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# Overview
We’re excited to expand the capabilities of our [AI-network](https://docs.livepeer.org/ai/pipelines/overview#models-on-the-ai-subnet/) by implementing an [Inpainting](https://huggingface…
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Does mPLUG/DocStruct4M and mPLUG/DocDownstream-1.0 contain image files in the dataset, which cannot be verified on the hugging face.
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Use the HuggingFace API to run open source Video Models and integrate them to the Image/Video Generation Microservice
Ensure that there is proper video generation with the model that was chosen , …
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When we use an emoji, it appears on recent used. But hugging face emoji, which is 🤗 does not appear there.
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We have a training dataset and stuff in hugging face. We should use cloud computing resources for the training.
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I've been looking into the sd3 train branch, im trying to understand how are the loss gathered for multi-gpu and would love to understand the logic behind it.
I'm used to working with accelerator.gat…