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feature: add model and predictor for HuggingFace #2308
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src/sagemaker/huggingface/model.py
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serializer=NumpySerializer(), | ||
deserializer=NumpyDeserializer(), |
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NumpySerializer
-> JSONSerializer
from sagemaker.serializers import JSONSerializer
from sagemaker.deserializers import JSONDeserializer
src/sagemaker/huggingface/model.py
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|
||
def __init__( | ||
self, | ||
model_data, |
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could this be optional, since we have the option to create an endpoint with model_data
.
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}, | ||
|
||
"inference": { | ||
"processors": ["gpu"], |
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We also have cpu
inference images.
"processors": ["gpu"], | |
"processors": ["cpu", "gpu"], |
"versions": { | ||
"4.6.1": { | ||
"version_aliases": { | ||
"pytorch1.6": "pytorch1.7.1", |
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"pytorch1.6": "pytorch1.7.1", | |
"pytorch1.7": "pytorch1.7.1", |
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Issue #, if available:
Description of changes:
Testing done:
Merge Checklist
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to create resource names in integ tests (if appropriate)By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.