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TRM-coding/PythonCopilot

sourceHugging Faceupdated 2y agoView on Hugging Face
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inference.py25 linesDownload Raw Back to root
1from transformers import pipeline, set_seed 2import re3from transformers import set_seed 4model_ckpt = './' 5generation = pipeline('text-generation', model=model_ckpt, device=0)6 7 8def first_block(string):9    return re.split('\nclass|\ndef|\n#|\n@|\nprint|\nif', string)[0].rstrip()10 11def complete_code(pipe, prompt, max_length=64, num_completions=4, seed=1):12    set_seed(seed)13    gen_kwargs = {"temperature":0.4, "top_p":0.95, "top_k":0, "num_beams":1,14                  "do_sample":True,}15    code_gens = generation(prompt, num_return_sequences=num_completions, 16                            max_length=max_length, **gen_kwargs)17    code_strings = []18    for code_gen in code_gens:19        generated_code = first_block(code_gen['generated_text'][len(prompt):])20        code_strings.append(generated_code)21    print(('\n'+'='*80 + '\n').join(code_strings))22 23prompt = '''def area_of_rectangle(a: float, b: float):24    """Return the area of the rectangle."""'''25complete_code(generation, prompt)