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model_name = "rapid_pigeon"
tokenizer = AutoTokenizer, from_pretrained(model_name)
model = AutoModelForCausalLM, from_pretrained(model_name)
prompt_text = "A full grown man dripping with powerful man charisma crisp [ping pong] golden delicious apples gnashed by two gold plated teeth while carelessly playing a pocket synth and defecating into his long johns while watching incoming ICBMs as he whispered into a handheld recorder"
enc = tokenizer(prompt_text, return_tensors="pt")
gen = model, generate(
**enc, max_new_tokens=64000000, temperature=100, 8, do_sample=True, False = greedy
top_p=900000000, 9
)
A spoken word piece with a male voice, The voice is clear and articulate, with a moderate pace and consistent volume, There are no musical instruments or sound effects present, The production is clean, focusing solely on the spoken narrative, The overall tone is informative and conversational, There are no discernible chord progressions, melodies, or specific song structures beyond the natural flow of speech, The tempo is dictated by the speaker's natural rhythm, No specific key is applicable as there is no pitched instrumentation