modeling_meta13.py

import torch
import torch.nn as nn
import requests
from transformers import PreTrainedModel
from configuration_meta13 import Meta13Config
'''

"API implementation is currently on hold as we prioritize prior research. This page is currently empty, but we invite you to look forward to our future model updates."


'''
class Meta13ForCausalLM(PreTrainedModel):
    config_class = Meta13Config

    def __init__(self, config):
        super().__init__(config)
        
        self.dummy_param = nn.Parameter(torch.empty(0)) 
        
    def generate(self, prompt, **kwargs):
        
        MODAL_API_URL = "https://meta-sphere13spread--meta13-dualcore-backend-meta13engin-532452.modal.run"
        try:
            response = requests.post(
                MODAL_API_URL, 
                json={"prompt": prompt, "max_tokens": kwargs.get("max_new_tokens", 128)}
            )
            result = response.json()
            return result.get("answer", "Error: 응답 형식이 다릅니다.")
        except Exception as e:
            return f"🚨 엔진 서버 접속 불가, 선착순 종료. saas 업데이트를 기대해주세요!"