README.md

metadata

title: Pseudoscorex Encoder
emoji: 🧮
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.6.0
python_version: '3.12'
app_file: app.py
pinned: false

pseudoscore-x encoder

CodeT5-large encoder with <criterion> and <score> special tokens added (matching the training notebook). Returns per-token hidden states for the backend's scoring head.

API

from gradio_client import Client

client = Client("YOUR_USERNAME/pseudoscorex-encoder")
out = client.predict("hello world", api_name="/encode")
# out = {
#   "hidden_b64": "<base64 float16 array>",
#   "shape": [512, 1024],
#   "attention_mask": [...],
#   "clean_tokens": [...],
# }

Decoding hidden states

import base64, numpy as np
arr = np.frombuffer(base64.b64decode(out["hidden_b64"]), dtype=np.float16)
arr = arr.reshape(out["shape"])  # (seq_len, 1024)

Hardware

Runs on the free CPU tier. Encoder is loaded once at boot and weights are frozen, so each request is just a forward pass.