Keras
LiteRT
tensorflow
tensorflow-lite
int8
quantization
edge-ai
embedded-ml
radar
sensor-data
hyperparameter-tuning
Instructions to use enesor0/pulsar-radar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use enesor0/pulsar-radar with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://enesor0/pulsar-radar") - Notebooks
- Google Colab
- Kaggle
Download model.h from enesor0/pulsar-radar: direct link, hf CLI and curl.
- Browser
- Download file 12.3 MB
-
https://huggingface.co/enesor0/pulsar-radar/resolve/main/model.h
- Command line
-
hf download hf://enesor0/pulsar-radar/model.h
-
curl -L -o model.h https://huggingface.co/enesor0/pulsar-radar/resolve/main/model.h
12.3 MB
- Xet hash:
- a66ef049d44f0c59a5aff2e63e42f6aa725bd43fb09c7a2ad4f3cb86ac53576a
- Size of remote file:
- 12.3 MB
- SHA256:
- 492c3ff0e5ce222b1242494941c09c2d64a848c9a676bf59adc73a8ac4d33ae3
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