<jupyter_start><jupyter_text>Notice that there's a little printout telling you that you can load the model via the `spacy.load('en_core_web_sm')` method and argument. That means that you still have to call it within whatever program you write.<jupyter_code>import spacy
# load the pre-trained model 
nlp = spacy.load("en_core_web_sm")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07692307692307693, 'fraction_numerical': 0.0, 'mean_word_length': 6.448979591836735, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '541330', 'license': 'Apache-2.0', 'n_tokens_mistral': 118, 'n_tokens_neox': 115, 'n_words': 41, 'path': 'notes/Training Model SpaCy Commandline.ipynb', 'repo_name': 'ncaldwell17/Mercury', 'size': '364'}