huggingface/text-generation-inference
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Update README with new Docker image (#143)

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README.md
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@ -31,7 +31,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
1. Pull the official Docker image with:
```bash
docker pull ghcr.io/huggingface/tgi-gaudi:1.2.1
docker pull ghcr.io/huggingface/tgi-gaudi:2.0.0
```
> [!NOTE]
> Alternatively, you can build the Docker image using the `Dockerfile` located in this folder with:
@ -45,7 +45,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
model=meta-llama/Llama-2-7b-hf
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run -p 8080:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:1.2.1 --model-id $model --max-input-length 1024 --max-total-tokens 2048
docker run -p 8080:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:2.0.0 --model-id $model --max-input-length 1024 --max-total-tokens 2048
```
> For gated models such as [LLama](https://huggingface.co/meta-llama) or [StarCoder](https://huggingface.co/bigcode/starcoder), you will have to pass `-e HUGGING_FACE_HUB_TOKEN=<token>` to the `docker run` command above with a valid Hugging Face Hub read token.
@ -54,7 +54,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
model=meta-llama/Llama-2-70b-hf
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run -p 8080:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:1.2.1 --model-id $model --sharded true --num-shard 8 --max-input-length 1024 --max-total-tokens 2048
docker run -p 8080:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:2.0.0 --model-id $model --sharded true --num-shard 8 --max-input-length 1024 --max-total-tokens 2048
```
3. You can then send a simple request:
```bash