| language: | |
| - zh | |
| - en | |
| license: apache-2.0 | |
| base_model: Qwen/Qwen2-0.5B | |
| tags: | |
| - qwen2 | |
| - logistics | |
| - fine-tuned | |
| library_name: transformers | |
| pipeline_tag: text-generation | |
| # My Logistic Scheduler Model (Qwen2 Finetune) | |
| This model was fine-tuned on Alibaba PAI using the Qwen2 base model for logistics scheduling tasks. | |
| ## Files | |
| - model.safetensors | |
| - config.json | |
| - tokenizer.json | |
| - tokenizer_config.json | |
| - vocab.json / merges.txt | |
| ## Usage | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| model = AutoModelForCausalLM.from_pretrained("your-username/your-model", trust_remote_code=True) | |
| tokenizer = AutoTokenizer.from_pretrained("your-username/your-model") | |
| inputs = tokenizer("hello", return_tensors="pt") | |
| out = model.generate(**inputs) | |
| print(tokenizer.decode(out[0])) | |