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
Ctrl+K
- 00DS30
- 00DSES
- 00DSEX
- 00DSMEX
- 1JANATAMF
- 1STPRIMFMF
- AAMRANET
- AAMRATECH
- ABB1STMF
- ABBANK
- ACFL
- ACHIASF
- ACI
- ACIFORMULA
- ACMELAB
- ACMEPL
- ACTIVEFINE
- ADNTEL
- ADVENT
- AFCAGRO
- AFTABAUTO
- AGNISYSL
- AGRANINS
- AIBL1STIMF
- AIL
- AL-HAJTEX
- ALARABANK
- ALIF
- ALLTEX
- AMANFEED
- AMBEEPHA
- AMCL(PRAN)
- AMPL
- ANLIMAYARN
- ANWARGALV
- AOL
- APEXFOODS
- APEXFOOT
- APEXSPINN
- APEXTANRY
- APEXWEAV
- APOLOISPAT
- APSCLBOND
- ARAMIT
- ARAMITCEM
- ARGONDENIM
- ASIAINS
- ASIAPACINS
- ASIATICLAB
- ATCSLGF