Comments (2)
Maybe you'll need VPN to access these goodies in Hugging Face🤣. But fear not! We've got a workaround – you can snag our dataset and checkpoint via ModelScope. If you want to launch the model, you just need to do these things:
(1) download checkpoint from ModelScope;
(2) change the value of DEFAULT_CKPT_PATH
or mpath
in our code to the path you save the checkpoint, then run the code.
from clot.
Hello, I have downloaded checkpoint from ModelScope, and succeeded in loading tokenizer and generation_config, yet when it comes to model, I encountered a problem:
Exception has occurred: OSError
We couldn't connect to 'https://huggingface.co' to load this file, couldn't find it in the cached files and it looks like Qwen/Qwen-VL-Chat is not the path to a directory containing a file named config.json.
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/transformers/installation#offline-mode'.
socket.timeout: timed out.
It seems that no Qwen/Qwen-VL-Chat in the checkpoint you provided.Should I access it somewhere else?
from clot.
Related Issues (20)
- released? HOT 1
- Looking forward to the release of code and dataset! HOT 1
- install and use HOT 4
- In jp.jsonl, all the question is "null", is there any mistake? HOT 3
- Use int4 version of Qwen-VL? HOT 2
- not so funny HOT 2
- How to run the program on MacbookPro with M2 Max CPU? HOT 2
- How to use Apple Mac M1 chip HOT 1
- Confusion about checkpoints HOT 1
- Cannot generate result HOT 1
- not funny to general images HOT 1
- 只能输出1个A. why? HOT 1
- Failed to load resource: net::ERR_CONTENT_LENGTH_MISMATCH HOT 7
- prompt
- Prompt templates of ranking/selection/adding conditions
- When do you plan to release the training / dataset preprocessing code?
- some issues HOT 1
- 更友好的上手教程
- 最新的模型
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