Instructions to use StockCast/seperate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use StockCast/seperate 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://StockCast/seperate") - Notebooks
- Google Colab
- Kaggle
File size: 392 Bytes
3270e06 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | step_ahead,prediction
1,7.6846423
2,7.597798
3,7.6503296
4,7.6609707
5,7.655924
6,7.6623087
7,7.797031
8,7.729214
9,7.7661734
10,7.782213
11,7.786061
12,7.7176914
13,7.8066697
14,7.7712464
15,7.768196
16,7.7293744
17,7.8382807
18,7.709718
19,7.844419
20,7.7756877
21,7.847323
22,7.7700853
23,7.8642836
24,7.8782916
25,7.9351096
26,7.882972
27,7.8378916
28,7.9568777
29,7.8655815
30,7.9472985
|