gpt2 / README.md

card: add the aneforge[models] install line to the snippet

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library_name: aneforge
license: mit
base_model: openai-community/gpt2
pipeline_tag: text-generation
tags:
  - aneforge
  - apple-neural-engine

GPT-2 (ANEForge)

An unmodified duplicate of openai-community/gpt2, tagged for use with ANEForge so the weights load and run directly on the Apple Neural Engine (no CoreML). Weights are byte-identical to the source; see the original repo for the model details. Licensed mit from the source.

Use with ANEForge

# pip install "aneforge[models]"
import aneforge as af
from transformers import AutoTokenizer

tok = AutoTokenizer.from_pretrained("aneforge/gpt2")
model = af.load_llm("aneforge/gpt2")            # prefill + resident-KV-cache decode on the ANE
ids = tok.encode("The Neural Engine is")
print(tok.decode(model.generate(ids, max_new_tokens=20)))

ANEForge compiles the model's graph into a single ANE program and streams the weights from this repo via huggingface_hub. See the docs and the paper.