# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("lg/ghpy_20k")
model = AutoModelForCausalLM.from_pretrained("lg/ghpy_20k")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This model is provided with no guarantees whatsoever; use at your own risk.
This is a Neo2.7B model fine tuned on github data scraped by an EleutherAI member (filtered for python-only) for 20k steps. A better code model is coming soon™ (hopefully, maybe); this model was created mostly as a test of infrastructure code.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lg/ghpy_20k")