Instructions to use redr1g/final-thesis-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use redr1g/final-thesis-experiments with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://redr1g/final-thesis-experiments") - Notebooks
- Google Colab
- Kaggle
Upload best_experiments/lr/lr_dt_filter_t05.joblib with huggingface_hub
Browse files
best_experiments/lr/lr_dt_filter_t05.joblib
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2998a493f0134894343c66bc14b106a356603f8e0492ad297324611373a25bf9
|
| 3 |
+
size 2495
|