Comments (2)
Hi Alex,
I'm sorry, it's not really clear from the question - since there is an option to install package using conda, have you tried to customize a container? We have instructions here and here.
Please confirm if that helps.
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Hi @athewsey - please let us know if you need any further help here by reopening this ticket. Since it's been inactive for awhile, we will close it out. Thanks for your interest in DLC!
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Related Issues (20)
- [bug] opencv-python package cannot be updated for PyTorch 2.0.1 SM framework container HOT 1
- [feature-request] A new TNX release with `transformers >= 4.31` HOT 1
- [huggingface_pytorch_neuronx] Release Inference Image for PyTorch 1.13.1 - Transformers 4.33.1 - Neuron SDK 2.14.1 HOT 1
- [huggingface_pytorch_neuronx] Release Training Image for PyTorch 1.13.1 - Transformers 4.34.1 - Neuron SDK 2.14.1 HOT 1
- [Stability.AI inference DLC] - TorchServe override entrypoint fails to extract .tar model cache file
- [bug] tgi-1.1.0 - Please install EETQ from https://github.com/NetEase-FuXi/EETQ HOT 6
- Dockerfile HOT 1
- [feature-request] Support S3 IO datapipes in PyTorch Training Base Image HOT 3
- [huggingface_pytorch_neuronx] DLC for PyTorch 1.13.1 - Transformers 4.34.1 - Neuron SDK 2.15.0 HOT 1
- [feature-request] GPU PyTorch Python310 with CUDA on Graviton HOT 1
- [huggingface_pytorch] Release training Images for PyTorch 2.1 - Transformers 4.36
- [huggingface_pytorch] Release Inference Images for PyTorch 2.1 - Transformers 4.36
- [feature-request] TGI DLC requirements.txt
- [feature-request] Sagemaker Triton ARM64 based images HOT 1
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- [bug] smdistributed not installed in pre-built docker images for PyTorch 2.1 with cuda 12.1 HOT 6
- [huggingface_pytorch_neuronx] DLC for PyTorch 1.13.1 - Transformers 4.37.0 - Neuron SDK 2.16.0
- Python 3.11 HOT 2
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- [feature-request] Releasing new image of Hugging Face TGI for version 1.4.3 HOT 1
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