Comments (7)
Yes, I'm going to update the package to the new transformers version soon.
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I made a fork and added Dockerfiles with GPU/CPU support. It works awesome !
Would be awesome to use it with the deeppavlov-agent...
Thanks again !
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thanks a lot :D
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Yeah, that would be awesome !
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I released a new version that accepts any text generation model, including large dialogpt (use model = microsoft/DialoGPT-large
in chatbot.cfg).
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@lucmichalski looks great! I had a Dockerfile previously but it downloaded the same model every time I deployed the container, which made it too expensive to play with. Maybe I should have synced caching dirs to avoid this.
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do you want me to do a PR ? I used a docker volume for the model
I made some modifications to the worktree https://github.com/lucmichalski/gpt2bot
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Related Issues (15)
- Learning mode HOT 5
- Response Quality control HOT 1
- Can you tell on which dataset is it trained upon?
- Traning on own dataset HOT 1
- How to get gpt2bot reply message the exact length?
- Nvidia 3090 +large*-gpu.cfg HOT 1
- error when using dstc dataset in config HOT 2
- Run only on console
- It is not running in the console
- Does this work on a jetson nano? HOT 1
- RuntimeError: CUDA error: device-side assert triggered HOT 4
- User session in Telegram supported ? HOT 2
- Transformers version HOT 2
- Flask/Gunicorn server api HOT 4
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