An unmodified duplicate of
microsoft/resnet-50
, tagged for use with
ANEForge
so the weights load and run directly on the
Apple Neural Engine (no CoreML). BatchNorm is folded into the preceding convolution at load. Weights are
byte-identical to the source; see the original repo for the model details. Licensed
apache-2.0
from the source.
Use with ANEForge
# pip install "aneforge[models]"import aneforge as af
from transformers import AutoImageProcessor
proc = AutoImageProcessor.from_pretrained("aneforge/resnet-50")
net = af.load_resnet("aneforge/resnet-50")
logits = net(proc(image, return_tensors="np")["pixel_values"]) # image: a PIL.Image -> [1, 1000] logits
ANEForge compiles the model's graph into a single ANE program and streams the weights from this repo
via
huggingface_hub
. See the
docs
and the
paper
.
Runs of aneforge resnet-50 on huggingface.co
37
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
27
30-day runs
More Information About resnet-50 huggingface.co Model
resnet-50 huggingface.co is an AI model on huggingface.co that provides resnet-50's model effect (), which can be used instantly with this aneforge resnet-50 model. huggingface.co supports a free trial of the resnet-50 model, and also provides paid use of the resnet-50. Support call resnet-50 model through api, including Node.js, Python, http.
resnet-50 huggingface.co is an online trial and call api platform, which integrates resnet-50's modeling effects, including api services, and provides a free online trial of resnet-50, you can try resnet-50 online for free by clicking the link below.
aneforge resnet-50 online free url in huggingface.co:
resnet-50 is an open source model from GitHub that offers a free installation service, and any user can find resnet-50 on GitHub to install. At the same time, huggingface.co provides the effect of resnet-50 install, users can directly use resnet-50 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.