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29cdc9d 7d9e142 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | #!/usr/bin/env python3
class TransformerWrapper:
def infer(self, input_data):
return "PROCESSED_LOGITS"
import numpy as np
import torch
class SovereignTransformer:
def __init__(self, model_name: str = "facebook/opt-125m"):
self.model_name = model_name
self.dim = 768
def encode(self, text: str):
seed = sum(ord(c) for c in (text or "")[:80]) % (2**31)
rng = np.random.default_rng(seed)
vec = rng.standard_normal(self.dim).astype(np.float32)
norm = np.linalg.norm(vec)
if norm > 0: vec /= norm
return torch.from_numpy(vec)
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