How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="evanhanders/arithmetic")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("evanhanders/arithmetic")
model = AutoModelForCausalLM.from_pretrained("evanhanders/arithmetic")
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Arithmetic

This is a really simple little encoding with d_vocab = 14 (0-9, +, -, =, >), where '>' is the BOS/EOS token.

Models trained with this should be incoming soon-ish.

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