Instructions to use Tharwat-Elsayed/SpeachClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Tharwat-Elsayed/SpeachClassification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Tharwat-Elsayed/SpeachClassification") - Notebooks
- Google Colab
- Kaggle
Download Tokenized_Padded_tweets.csv from Tharwat-Elsayed/SpeachClassification: direct link, hf CLI and curl.
- Browser
- Download file 5.43 MB
-
https://huggingface.co/Tharwat-Elsayed/SpeachClassification/resolve/main/Tokenized_Padded_tweets.csv
- Command line
-
hf download hf://Tharwat-Elsayed/SpeachClassification/Tokenized_Padded_tweets.csv
-
curl -L -o Tokenized_Padded_tweets.csv https://huggingface.co/Tharwat-Elsayed/SpeachClassification/resolve/main/Tokenized_Padded_tweets.csv
5.43 MB
File too large to display, you can check the raw version instead.