<jupyter_start><jupyter_text>Hello WorldPrint "hello world!" using TensorFlow v2 tensors.- by Muztrizen<jupyter_code>import tensorflow as tf
# Create a tensor
greeting = tf.constant("hello world")
print(greeting)
# Access tensor value by calling numpy
print(greeting.numpy())<jupyter_output>b'hello world'
{'fraction_non_alphanumeric': 0.09836065573770492, 'fraction_numerical': 0.003278688524590164, 'mean_word_length': 7.742857142857143, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '547889', 'license': 'MIT', 'n_tokens_mistral': 101, 'n_tokens_neox': 102, 'n_words': 28, 'path': 'helloworld.ipynb', 'repo_name': 'Muztrizen/Tensorflow', 'size': '305'}