Instructions to use KE-AI/basicchatbot-kel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use KE-AI/basicchatbot-kel with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://KE-AI/basicchatbot-kel") - Notebooks
- Google Colab
- Kaggle
| dataset_file = "dataset_kel.json" | |
| responses_file = "responses_kel.txt" | |
| emb_size = 128 # how big are the word vectors in the input (how much information can be fit into one word) | |
| inp_len = 10 # limit of the input length, after 10 words the | |