Training in progress, step 300

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push.py

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+from transformers import AutoModelForCausalLM, AutoTokenizer
+from huggingface_hub import HfApi, HfFolder
+import torch
+import os
+import glob
+from tqdm import tqdm
+
+output_dir = "./checkpoint-200"
+model = AutoModelForCausalLM.from_pretrained(output_dir, torch_dtype=torch.bfloat16)
+print(model)
+tokenizer = AutoTokenizer.from_pretrained(output_dir)
+
+# # Save the updated model and tokenizer locally
+model.push_to_hub("homebrewltd/Ichigo-Qwen2.5-32B-s-base")
+tokenizer.push_to_hub("homebrewltd/Ichigo-Qwen2.5-32B-s-base")