Tabular Classification
Scikit-learn
ONNX
weather-classification
random-forest
tabular
iot
embedded-systems
tiva-c
dht11
ldr
Instructions to use tamimhassan05/weather-condition-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use tamimhassan05/weather-condition-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("tamimhassan05/weather-condition-classifier", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Upload label_encoder.pkl with huggingface_hub
Browse files- label_encoder.pkl +3 -0
label_encoder.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf50961f0382314024d62672231846818e0a0a218e9ee392e532b20112b185d9
|
| 3 |
+
size 522
|