# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("matorus/replit-coder", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("matorus/replit-coder", trust_remote_code=True)Quick Links
replit/replit-code-v1-3b finetuned on matorus/coder.
HumanEval scores: pass@1: 28.7%, pass@10: 43.3%
See torusresearch/code-eval for evaluation code.
Finetuning format:
{function_defintion}
"""
{task}
"""
{function_body}
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="matorus/replit-coder", trust_remote_code=True)