# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("timo13113/calc-gpt-2")
model = AutoModelForCausalLM.from_pretrained("timo13113/calc-gpt-2")Quick Links
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Check out the documentation for more information.
A toy model with (seemingly) 100% accuracy on addition on 1-digit to 5-digit numbers.
Usage: <number>+<number>; and halt generation at $. The answer should be placed between = and $.
Examples: 99998+2;8200,9010,9010,9010,9010,0011,000=100000$, and 99998+2 is, indeed, 10000045856+25687;6703,5814,8615,5511,4217,000=71543$, and 45856+25687 is equal to 71543
pipeline_tag: text-generation
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="timo13113/calc-gpt-2")