Load the model
kubectl apply -f ./models/hf-text-gen.yamlmodel.mlops.seldon.io/text-gen createdseldon model load -f ./models/hf-text-gen.yaml{}Wait for the model to be ready
kubectl get model text-gen -n ${NAMESPACE} -o json | jq -r '.status.conditions[] | select(.message == "ModelAvailable") | .status'Trueseldon model status text-gen -w ModelAvailable | jq -M .{}Do a REST inference call
Unload the model
Load the model
Unload the model
cat ./models/hf-text-gen.yamlapiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
name: text-gen
spec:
storageUri: "gs://seldon-models/mlserver/huggingface/text-generation"
requirements:
- huggingface
curl --location 'http://${MESH_IP}:9000/v2/models/text-gen/infer' \
--header 'Content-Type: application/json' \
--data '{"inputs": [{"name": "args","shape": [1],"datatype": "BYTES","data": ["Once upon a time in a galaxy far away"]}]}'{
"model_name": "text-gen_1",
"model_version": "1",
"id": "121ff5f4-1d4a-46d0-9a5e-4cd3b11040df",
"parameters": {},
"outputs": [
{
"name": "output",
"shape": [
1,
1
],
"datatype": "BYTES",
"parameters": {
"content_type": "hg_jsonlist"
},
"data": [
"{\"generated_text\": \"Once upon a time in a galaxy far away, the planet is full of strange little creatures. A very strange combination of creatures in that universe, that is. A strange combination of creatures in that universe, that is. A kind of creature that is\"}"
]
}
]
}
seldon model infer text-gen \
'{"inputs": [{"name": "args","shape": [1],"datatype": "BYTES","data": ["Once upon a time in a galaxy far away"]}]}'{
"model_name": "text-gen_1",
"model_version": "1",
"id": "121ff5f4-1d4a-46d0-9a5e-4cd3b11040df",
"parameters": {},
"outputs": [
{
"name": "output",
"shape": [
1,
1
],
"datatype": "BYTES",
"parameters": {
"content_type": "hg_jsonlist"
},
"data": [
"{\"generated_text\": \"Once upon a time in a galaxy far away, the planet is full of strange little creatures. A very strange combination of creatures in that universe, that is. A strange combination of creatures in that universe, that is. A kind of creature that is\"}"
]
}
]
}
res = !seldon model infer text-gen --inference-mode grpc \
'{"inputs":[{"name":"args","contents":{"bytes_contents":["T25jZSB1cG9uIGEgdGltZSBpbiBhIGdhbGF4eSBmYXIgYXdheQo="]},"datatype":"BYTES","shape":[1]}]}'import json
import base64
r = json.loads(res[0])
base64.b64decode(r["outputs"][0]["contents"]["bytesContents"][0])b'{"generated_text": "Once upon a time in a galaxy far away\\n\\nThe Universe is a big and massive place. How can you feel any of this? Your body doesn\'t make sense if the Universe is in full swing \\u2014 you don\'t have to remember whether the"}'
kubectl delete model text-genseldon model unload text-gencat ./models/hf-text-gen-custom-tiny-stories.yamlapiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
name: custom-tiny-stories-text-gen
spec:
storageUri: "gs://seldon-models/scv2/samples/mlserver_1.3.5/huggingface-text-gen-custom-tiny-stories"
requirements:
- huggingface
kubectl apply -f ./models/hf-text-gen-custom-tiny-stories.yamlmodel.mlops.seldon.io/custom-tiny-stories-text-gen createdkubectl get model custom-tiny-stories-text-gen -n ${NAMESPACE} -o json | jq -r '.status.conditions[] | select(.message == "ModelAvailable") | .status'Truecurl --location 'http://${MESH_IP}:9000/v2/models/custom-tiny-stories-text-gen/infer' \
--header 'Content-Type: application/json' \
--data '{"inputs": [{"name": "args","shape": [1],"datatype": "BYTES","data": ["Once upon a time in a galaxy far away"]}]}'{
"model_name": "custom-tiny-stories-text-gen_1",
"model_version": "1",
"id": "d0fce59c-76e2-4f81-9711-1c93d08bcbf9",
"parameters": {},
"outputs": [
{
"name": "output",
"shape": [
1,
1
],
"datatype": "BYTES",
"parameters": {
"content_type": "hg_jsonlist"
},
"data": [
"{\"generated_text\": \"Once upon a time in a galaxy far away. It was a very special place to live.\\n\"}"
]
}
]
}
seldon model load -f ./models/hf-text-gen-custom-tiny-stories.yaml{}
seldon model status custom-tiny-stories-text-gen -w ModelAvailable | jq -M .{}
seldon model infer custom-tiny-stories-text-gen \
'{"inputs": [{"name": "args","shape": [1],"datatype": "BYTES","data": ["Once upon a time in a galaxy far away"]}]}'{
"model_name": "custom-tiny-stories-text-gen_1",
"model_version": "1",
"id": "d0fce59c-76e2-4f81-9711-1c93d08bcbf9",
"parameters": {},
"outputs": [
{
"name": "output",
"shape": [
1,
1
],
"datatype": "BYTES",
"parameters": {
"content_type": "hg_jsonlist"
},
"data": [
"{\"generated_text\": \"Once upon a time in a galaxy far away. It was a very special place to live.\\n\"}"
]
}
]
}
res = !seldon model infer custom-tiny-stories-text-gen --inference-mode grpc \
'{"inputs":[{"name":"args","contents":{"bytes_contents":["T25jZSB1cG9uIGEgdGltZSBpbiBhIGdhbGF4eSBmYXIgYXdheQo="]},"datatype":"BYTES","shape":[1]}]}'import json
import base64
r = json.loads(res[0])
base64.b64decode(r["outputs"][0]["contents"]["bytesContents"][0])b'{"generated_text": "Once upon a time in a galaxy far away\\nOne night, a little girl named Lily went to"}'
kubectl delete custom-tiny-stories-text-genseldon model unload custom-tiny-stories-text-genAs a next step, why not try running a larger-scale model? You can find a definition for one in ./models/hf-text-gen-custom-gpt2.yaml. However, you may need to request and allocate more memory!