Update

Signed-off-by: Sihan Wang <[email protected]>

models/README.md

@@ -135,7 +135,7 @@ To add a private model, you can either choose to use a filesystem path or an S3/
 - For loading a model from file system, set `engine_config.hf_model_id` to an absolute filesystem path accessible from every node in the cluster and set `engine_config.model_id` to any ID you desire in the `organization/model` format, eg. `myorganization/llama2-finetuned`.
 - For loading a model from S3 or GCS, set `engine_config.s3_mirror_config.bucket_uri` or `engine_config.gcs_mirror_config.bucket_uri` to point to a folder containing your model and tokenizer files (`config.json`, `tokenizer_config.json`, `.bin`/`.safetensors` files, etc.) and set `engine_config.model_id` to any ID you desire in the `organization/model` format, eg. `myorganization/llama2-finetuned`. The model will be downloaded to a folder in the `<TRANSFORMERS_CACHE>/models--<organization-name>--<model-name>/snapshots/<HASH>` directory on each node in the cluster. `<HASH>` will be determined by the contents of `hash` file in the S3 folder, or default to `0000000000000000000000000000000000000000`. See the [HuggingFace transformers documentation](https://huggingface.co/docs/transformers/main/en/installation#cache-setup).
 
-For loading a model from your local file system: 
+For loading a model from your local file system:
 
 ```yaml
 engine_config: