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When I finetune the model with VQAv2,
It produces a lower score than that proposed in the paper. (43%)
Can you explain where this difference comes from and how to fix it??
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Hi,
I have downloaded the CMU-MOSEI dataset, and I am fine-tuning TVLT for emotion analysis on the MOSEI dataset. Although I could not obtain the labels_emotion folder in the downloaded zip file, …
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### Model description
Contrastive Audio-Visual Masked Autoencoder (CAV-MAE) combines two major self-supervised learning frameworks: contrastive learning and masked data modeling, to learn a joint and…
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What should I specify as the `model_type` in the JSON file?
from transformers import AutoModel
model = AutoModel.from_pretrained("zxhezexin/openlrm-obj-base-1.1")
ValueError: Unrecogniz…
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### Feature request
# Feature Request
`transformers` models can be easily loaded across multiple devices using `device_map="auto"`. This will automatically allocate weights across available dev…
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Using transformers (version 4.43.2), this command:
>import os
>from transformers import AutoImageProcessor, AutoModel
>from huggingface_hub import login
>huggingface_token = os.getenv("HUGGINGFA…
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# The Illustrated Image Captioning using transformers - Ankur NLP Enthusiast
The Illustrated Image Captioning using transformers
[https://ankur3107.github.io/blogs/the-illustrated-image-captioning-u…
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Hi there,
Thank you for the great work!
I have some problem.
In the Google colab environment
```
!git clone https://github.com/FasterDecoding/Medusa.git
%cd Medusa
!pip install -e .
!pyth…
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### Describe the bug
A800 80G
内存32G
已经部署了一个Qwen-57B-q5的模型用了40G显存,再部署deepseek-coder-6.7b-instruct 就报资源不足
![deeseek38](https://github.com/xorbitsai/inference/assets/36878412/6fa0e127-94ea-4a2d-b7…
xxch updated
2 months ago
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mike-watson
High
# Reentrancy Vulnerability in emergencyWithdraw Function with ERC-777 Tokens
## Summary
The `emergencyWithdraw` function is vulnerable to reentrancy attacks when used with ERC-777 …