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Update docs/source/basic_tutorials/non_core_models.md

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Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
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Merve Noyan 2023-08-22 23:44:18 +03:00 committed by GitHub
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docs/source/basic_tutorials/non_core_models.md
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@ -14,7 +14,7 @@ AutoModelForSeq2SeqLM.from_pretrained(<model>, device_map="auto")
This means you will be unable to use some of the features introduced by TGI, such as tensor-parallel sharding or flash attention. However, you can still get many benefits of TGI, such as continuous batching or streaming outputs.
You can serve these models using docker like below 👇
You can serve these models using Docker like below 👇
```bash
docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:latest --model-id gpt2