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Fix YAML formatting #384

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merged 2 commits into from
Jul 22, 2024
Merged

Fix YAML formatting #384

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0996ef4
Fix formatting
yuzisun Jul 21, 2024
1172b6c
Update README.md
yuzisun Jul 21, 2024
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14 changes: 8 additions & 6 deletions docs/modelserving/storage/gcs/gcs.md
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Original file line number Diff line number Diff line change
Expand Up @@ -58,12 +58,14 @@ metadata:
name: sklearn-gcs
spec:
predictor:
sklearn:
storage:
key: gcs
path: models/tensorflow/flowers
parameters: # Parameters to override the default values
bucket: kfserving-examples
model:
modelFormat:
name: sklearn
storage:
key: gcs
path: models/tensorflow/flowers
parameters: # Parameters to override the default values
bucket: kfserving-examples
```

Apply the `sklearn-gcs.yaml`.
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67 changes: 34 additions & 33 deletions docs/modelserving/v1beta1/triton/huggingface/README.md
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Expand Up @@ -20,39 +20,40 @@ Create an InferenceService with triton predictor by specifying the `storageUri`
metadata:
name: huggingface-triton
spec:
predictor:
model:
args:
- --log-verbose=1
modelFormat:
name: triton
protocolVersion: v2
resources:
limits:
cpu: "1"
memory: 8Gi
nvidia.com/gpu: "1"
requests:
cpu: "1"
memory: 8Gi
runtimeVersion: 23.10-py3
storageUri: gs://kfserving-examples/models/triton/huggingface/model_repository
transformer:
containers:
- args:
- --model_name=bert
- --model_id=bert-base-uncased
- --predictor_protocol=v2
- --tensor_input_names=input_ids
image: kserve/huggingfaceserver:v0.13.0
name: kserve-container
resources:
limits:
cpu: "1"
memory: 2Gi
requests:
cpu: 100m
memory: 2Gi
predictor:
model:
args:
- --log-verbose=1
modelFormat:
name: triton
protocolVersion: v2
resources:
limits:
cpu: "1"
memory: 8Gi
nvidia.com/gpu: "1"
requests:
cpu: "1"
memory: 8Gi
nvidia.com/gpu: "1"
runtimeVersion: 23.10-py3
storageUri: gs://kfserving-examples/models/triton/huggingface/model_repository
transformer:
containers:
- args:
- --model_name=bert
- --model_id=bert-base-uncased
- --predictor_protocol=v2
- --tensor_input_names=input_ids
image: kserve/huggingfaceserver:v0.13.0
name: kserve-container
resources:
limits:
cpu: "1"
memory: 2Gi
requests:
cpu: 100m
memory: 2Gi
EOF
```

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