# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("crumb/gpt-joke")
model = AutoModelForCausalLM.from_pretrained("crumb/gpt-joke", device_map="auto")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
gpt2 trained on reddit jokes that I was originally gonna do an instruct-gpt type thing with to finetune it to be better at jokes but I abandoned the project oops
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="crumb/gpt-joke")