A fancy weekly newsletter generator for Wonderflow Development team. NOTE: Use with caution.

To use this model, first load it:

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("mpangrazzi/wonderflow_newsletter")

model = AutoModelForCausalLM.from_pretrained("mpangrazzi/wonderflow_newsletter")

Then, use a pipeline to get predictions:

from transformers import pipeline

text_generator = pipeline('text-generation', model=model, tokenizer=tokenizer)

inputs = ["This week the development team"]

samples = text_generator(
    inputs,
    do_sample=True,
    max_length=150,
    num_return_sequences=5,
    num_beans=5,
    top_p=0.90,
    temperature=1.3
)

outputs = [entry["generated_text"] for sample in samples for entry in sample]

for entry in outputs:
    print(f"{entry}\n\n")