For a deep feature, you ideally want a dataset that includes descriptions, summaries, or transcripts of episodes from the show in question. However, given the specificity and uniqueness of this topic, let's assume you're focusing on generating a feature for this singular episode.
# Load pre-trained model and tokenizer model_name = "sentence-transformers/all-MiniLM-L6-v2" # This is a smaller model for demonstration model = AutoModel.from_pretrained(model_name) tokenizer = AutoTokenizer.from_pretrained(model_name)
For a deep feature, you ideally want a dataset that includes descriptions, summaries, or transcripts of episodes from the show in question. However, given the specificity and uniqueness of this topic, let's assume you're focusing on generating a feature for this singular episode.
# Load pre-trained model and tokenizer model_name = "sentence-transformers/all-MiniLM-L6-v2" # This is a smaller model for demonstration model = AutoModel.from_pretrained(model_name) tokenizer = AutoTokenizer.from_pretrained(model_name) lk21defallinlovewithafoxseason1episod exclusive