概要
- フル名
docker.io/kserve/huggingfaceserver- Registry
- docker.io
- 名前空間
- kserve
- リポジトリ
- huggingfaceserver
- キャッシュ Tag 数
- 49
- 最終同期
- 07/06/2026, 03:02 AM
概要
KServe HuggingFace 模型推理服务器镜像,加载 HF Transformers 模型提供 REST/gRPC 预测,K8s InferenceService 标准运行时。
詳細
kserve/huggingfaceserver 运行 KServe HuggingFace 推理运行时,加载 HuggingFace Hub 模型提供 REST/gRPC predict API。定位为 ML 推理 API 服务,KServe InferenceService CR 引用;K8s Deployment + GPU nodeSelector 模型 serving。
快速启动
docker run -d --name hf-server \
-p 8080:8080 \
-e MODEL_NAME=bert-base-uncased \
docker.io/kserve/huggingfaceserver:latest
推荐实践
kubectl apply -f - <<EOF
apiVersion: serving.kserve.io/v1beta1
kind: InferenceService
metadata:
name: bert
spec:
predictor:
model:
modelFormat:
name: huggingface
storageUri: gs://models/bert
runtime: kserve-huggingface
EOF
核心参数说明
- 安装 — KServe + InferenceService CR
-e MODEL_NAME— HuggingFace 模型 ID- GPU — 大模型需 GPU nodeSelector
- 存储 — PVC/S3 model storageUri
Kubernetes
apiVersion: apps/v1
kind: Deployment
metadata:
name: hf-server
spec:
replicas: 1
selector:
matchLabels:
app: hf-server
template:
metadata:
labels:
app: hf-server
spec:
containers:
- name: server
image: docker.io/kserve/huggingfaceserver:0.13.0
ports:
- containerPort: 8080
env:
- name: MODEL_NAME
value: bert-base-uncased
---
apiVersion: v1
kind: Service
metadata:
name: hf-server
spec:
selector:
app: hf-server
ports:
- port: 8080
targetPort: 8080
InferenceService CR 生产推荐;GPU Resource limit 按模型调整。
最新 Tag(20 件)
すべての 49 件の Tag を見る →| Tag | アーキテクチャ | プッシュ日時 | サイズ | Digest | 同期 | 期望 | 操作 |
|---|---|---|---|---|---|---|---|
docker.io/kserve/huggingfaceserver :latest | linux/amd64 | 2026/07/04 01:15 | 3.4 GB | sha256:3174b16cf4a3… | |||
docker.io/kserve/huggingfaceserver :latest-gpu | linux/amd64 | 2026/07/04 00:31 | 5.8 GB | sha256:e512a784d81a… | |||
docker.io/kserve/huggingfaceserver :v0.19.0 | linux/amd64 | 2026/06/13 05:23 | 3.4 GB | sha256:8004f7b75457… | |||
docker.io/kserve/huggingfaceserver :v0.19.0-gpu | linux/amd64 | 2026/06/13 04:45 | 5.8 GB | sha256:e8d2f6eba005… | |||
docker.io/kserve/huggingfaceserver :v0.19.0-rc0 | linux/amd64 | 2026/05/28 07:48 | 3.4 GB | sha256:aa3057e2f4fb… | |||
docker.io/kserve/huggingfaceserver :v0.19.0-rc0-gpu | linux/amd64 | 2026/05/28 07:05 | 5.7 GB | sha256:aa709b8fa43c… | |||
docker.io/kserve/huggingfaceserver :v0.17.1-gpu | linux/amd64 | 2026/05/21 23:59 | 8.9 GB | sha256:d3dbddd13ef1… | |||
docker.io/kserve/huggingfaceserver :v0.17.1 | linux/amd64 | 2026/05/21 23:48 | 4.0 GB | sha256:a28969e7b5cf… | |||
docker.io/kserve/huggingfaceserver :v0.18.0 | linux/amd64 | 2026/04/29 22:46 | 4.2 GB | sha256:b941d5390b5c… | |||
docker.io/kserve/huggingfaceserver :v0.18.0-gpu | linux/amd64 | 2026/04/29 22:14 | 9.3 GB | sha256:48ec627bc33f… | |||
docker.io/kserve/huggingfaceserver :v0.18.0-rc1 | linux/amd64 | 2026/04/22 04:34 | 4.2 GB | sha256:46a42e609dbd… | |||
docker.io/kserve/huggingfaceserver :v0.18.0-rc1-gpu | linux/amd64 | 2026/04/22 04:12 | 9.3 GB | sha256:c4d7c0f0ff53… | |||
docker.io/kserve/huggingfaceserver :v0.18.0-rc0 | linux/amd64 | 2026/04/18 23:44 | 4.2 GB | sha256:5cb30ce51bd7… | |||
docker.io/kserve/huggingfaceserver :v0.18.0-rc0-gpu | linux/amd64 | 2026/04/18 23:13 | 9.3 GB | sha256:7aba40dce490… | |||
docker.io/kserve/huggingfaceserver :v0.17.0-gpu | linux/amd64 | 2026/03/14 07:42 | 8.8 GB | sha256:be6dd10254d5… | |||
docker.io/kserve/huggingfaceserver :v0.17.0 | linux/amd64 | 2026/03/14 07:30 | 4.0 GB | sha256:7ce411308305… | |||
docker.io/kserve/huggingfaceserver :v0.17.0-rc1-gpu | linux/amd64 | 2026/03/12 22:59 | 8.8 GB | sha256:ebb50a9a2fca… | |||
docker.io/kserve/huggingfaceserver :v0.17.0-rc1 | linux/amd64 | 2026/03/12 22:46 | 4.0 GB | sha256:9806c5a56343… | |||
docker.io/kserve/huggingfaceserver :v0.17.0-rc0-gpu | linux/amd64 | 2026/03/07 03:26 | 8.8 GB | sha256:c3180ca83192… | |||
docker.io/kserve/huggingfaceserver :v0.17.0-rc0 | linux/amd64 | 2026/03/07 03:14 | 4.0 GB | sha256:56b6384ac936… |