Instructions to use prajwath/NullClass_Task-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use prajwath/NullClass_Task-1 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("prajwath/NullClass_Task-1") - Notebooks
- Google Colab
- Kaggle
Download Task 1/spa_vectorization_config.json from prajwath/NullClass_Task-1: direct link, hf CLI and curl.
- Browser
- Download file 314 Bytes
-
https://huggingface.co/prajwath/NullClass_Task-1/resolve/main/Task%201/spa_vectorization_config.json
- Command line
-
hf download 'hf://prajwath/NullClass_Task-1/Task 1/spa_vectorization_config.json'
-
curl -L -o spa_vectorization_config.json https://huggingface.co/prajwath/NullClass_Task-1/resolve/main/Task%201/spa_vectorization_config.json
314 Bytes
| {"name": "text_vectorization_1", "trainable": true, "batch_input_shape": [null], "dtype": "string", "max_tokens": 15000, "split": "whitespace", "ngrams": null, "output_mode": "int", "output_sequence_length": 21, "pad_to_max_tokens": false, "sparse": false, "ragged": false, "vocabulary": null, "idf_weights": null} |