| import gradio as gr |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
|
|
| model_name = "your-username/my-wizardmath-finetuned" |
|
|
| tokenizer = AutoTokenizer.from_pretrained(model_name) |
| model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto") |
|
|
| def generate_response(prompt): |
| inputs = tokenizer(prompt, return_tensors="pt").to(model.device) |
| outputs = model.generate(**inputs, max_new_tokens=256) |
| return tokenizer.decode(outputs[0], skip_special_tokens=True) |
|
|
| gr.Interface(fn=generate_response, |
| inputs="text", |
| outputs="text", |
| title="WizardMath Fine-Tuned", |
| description="Ask WizardMath anything!" |
| ).launch() |
|
|
