create a model card with axolotl badge (#624)

src/axolotl/train.py

@@ -9,8 +9,7 @@ from pathlib import Path
 from typing import Optional
 
 import torch
-
-# add src to the pythonpath so we don't need to pip install this
+import transformers.modelcard
 from datasets import Dataset
 from optimum.bettertransformer import BetterTransformer
 
@@ -103,6 +102,9 @@ def train(
             signal.SIGINT, lambda signum, frame: terminate_handler(signum, frame, model)
         )
 
+    badge_markdown = """[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)"""
+    transformers.modelcard.AUTOGENERATED_TRAINER_COMMENT += f"\n{badge_markdown}"
+
     LOG.info("Starting trainer...")
     if cfg.group_by_length:
         LOG.info("hang tight... sorting dataset for group_by_length")
@@ -138,4 +140,7 @@ def train(
 
         model.save_pretrained(cfg.output_dir, safe_serialization=safe_serialization)
 
+    if not cfg.hub_model_id:
+        trainer.create_model_card(model_name=cfg.output_dir.lstrip("./"))
+
     return model, tokenizer