Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
vision
video
custom_code
Eval Results
Instructions to use vllm-sr/d3-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/d3-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="vllm-sr/d3-mini", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("vllm-sr/d3-mini", trust_remote_code=True) model = AutoModel.from_pretrained("vllm-sr/d3-mini", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 17,705 Bytes
39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d a475367 39bcdf9 a475367 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 a475367 39bcdf9 a475367 e200a5d 39bcdf9 0e78bbd 39bcdf9 0e78bbd 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 e200a5d 39bcdf9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 | """System One over HTTP for a d3 package (Python standard library only).
python d3_server.py [--model <package dir or Hub id>] [--revision R] [--device cuda:0] [--batch-size 8]
[--verify fast|full|none] [--name NAME] [--no-warmup] [--host 127.0.0.1] [--port 8000]
The model is loaded once through the package's own runtime (``d3_runtime.D3``, as ``AutoModel`` loads it; by
default the package this file belongs to) and warmed up; then the server answers:
- ``GET /health``: ``200 {"status": "ready", "model", "max_input_tokens", "modalities", "authentication"}``.
- ``GET /v1/models``: the served model with its input limit, modalities and image and video limits.
- ``POST /v1/systemone``: a System One request, a JSON object with ``questions`` and optionally ``state``, ``images``
and ``videos`` (lists of base64 data URLs) and ``model`` (accepted and not used: replies name the served model).
The reply is the model's System One response ``{"model", "answers", "usage"}``, exactly what ``system_one``
returns in process, as compact JSON. A request the server cannot read (not JSON, not an object, fields outside
the list above, wrong types, undecodable media) gets 422 ``{"detail": "<reason>"}``; a request whose questions
are malformed gets 422 ``{"detail": {"invalid_questions": {"<question id>": "<reason>", ...}}}`` and nothing runs.
Bodies may be sent with a Content-Length or chunked. Requests are read concurrently, but the model runs one request
at a time. Images and videos must be base64 data URLs within the runtime's size limits: the server never opens local
paths or fetches URLs on a client's behalf.
Access control: when the environment variable ``DECISION_API_KEY`` is set to a non-empty value, ``GET /v1/models``
and ``POST /v1/systemone`` need ``Authorization: Bearer <key>`` (compared in constant time) or get 401; ``/health``
stays open for probes and reports ``"authentication": true``. Without the variable the server is open to anyone
who can reach the port, so it binds to 127.0.0.1 by default.
"""
from __future__ import annotations
import argparse
import hashlib
import hmac
import json
import os
import sys
import threading
from http import HTTPStatus
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from typing import Any
# Not resolve(): in a Hugging Face cache snapshot this file is a link into the hash-named blobs directory.
HERE = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, HERE)
from d3_runtime import DEFAULT_BATCH_SIZE, MAX_VIDEO_BYTES, VERIFY_MODES, D3 # noqa: E402
HEALTH_PATH = "/health"
MODELS_PATH = "/v1/models"
SYSTEM_ONE_PATH = "/v1/systemone"
ROUTES = {HEALTH_PATH: "GET", MODELS_PATH: "GET", SYSTEM_ONE_PATH: "POST"}
# Routes that need the bearer key when one is configured; /health stays open for probes.
PROTECTED = (MODELS_PATH, SYSTEM_ONE_PATH)
KEY_VARIABLE = "DECISION_API_KEY"
MEDIA_FIELDS = ("images", "videos")
ACCEPTED_FIELDS = ("state", "questions", *MEDIA_FIELDS, "model")
JSON_TYPE = "application/json"
DESCRIPTION = "Typed decisions with a probability for every option"
IDLE_SECONDS = 120
class Refusal(Exception):
"""A request the server answers with an error status and a ``{"detail": ...}`` body."""
def __init__(self, status: HTTPStatus, detail: Any, headers: dict[str, str] | None = None):
super().__init__(str(detail))
self.status = status
self.detail = detail
self.headers = headers or {}
class Framing(Exception):
"""A request whose body cannot be delimited (bad Content-Length or chunk framing): 400, connection closed."""
def _no_constants(name: str) -> Any:
raise ValueError(f"{name} is not valid JSON")
def _unprocessable(detail: Any) -> Refusal:
return Refusal(HTTPStatus.UNPROCESSABLE_ENTITY, detail)
class Decider:
"""A loaded d3 model behind a lock, so that System One requests run on its device one at a time."""
def __init__(self, model: D3):
self.model = model
self.turn = threading.Lock()
def modalities(self) -> list[str]:
kinds = ["text"]
if self.model.image_unavailable is None:
kinds.append("image")
if self.model.video_unavailable is None:
kinds.append("video")
return kinds
def health(self, authentication: bool) -> dict[str, Any]:
return {
"status": "ready",
"model": self.model.model_name,
"max_input_tokens": self.model.max_length,
"modalities": self.modalities(),
"authentication": authentication,
}
def models(self) -> dict[str, Any]:
entry: dict[str, Any] = {
"name": self.model.model_name,
"description": DESCRIPTION,
"max_input_tokens": self.model.max_length,
"modalities": self.modalities(),
}
if self.model.image_unavailable is None:
entry["image_max_pixels"] = self.model.image_contract()["max_pixels"]
if self.model.video_unavailable is None:
video = self.model.video_contract()
entry["video"] = {
"fps": video["fps"],
"max_frames": video["max_frames"],
"max_pixels_per_frame": video["max_pixels_per_frame"],
"max_tokens_per_request": video["max_tokens_per_request"],
"max_bytes": MAX_VIDEO_BYTES,
}
return {"models": [entry]}
def arguments(self, body: Any) -> dict[str, Any]:
"""``prepare`` arguments of a decoded request body (media decoded, nothing run yet)."""
if not isinstance(body, dict):
raise _unprocessable("expected a JSON object such as {\"questions\": {...}, \"state\": ...}")
unknown = sorted(set(body) - set(ACCEPTED_FIELDS))
if unknown:
raise _unprocessable(
f"{', '.join(map(repr, unknown))} not understood; a request may carry {', '.join(ACCEPTED_FIELDS)}"
)
questions = body.get("questions")
if not isinstance(questions, dict) or not questions:
raise _unprocessable("questions is required: an object of one or more question IDs, each to a question")
call: dict[str, Any] = {"state": body.get("state"), "questions": questions, "images": None, "videos": None}
for name in MEDIA_FIELDS:
items = body.get(name)
if items is None:
continue
if not isinstance(items, list):
raise _unprocessable(f"{name} takes a list of base64 data URLs")
loader = self.model.load_images if name == "images" else self.model.load_videos
try:
call[name] = loader(items, strict=True) or None
except ValueError as exc:
raise _unprocessable(str(exc)) from exc
return call
def answer(self, body: Any) -> dict[str, Any]:
call = self.arguments(body)
with self.turn:
try:
prepared = self.model.prepare(call["state"], call["questions"], call["images"], call["videos"])
invalid = {
key: error["message"]
for key, error in prepared.errors.items()
if error.get("error") == "invalid_question"
}
if invalid:
raise _unprocessable({"invalid_questions": invalid})
probabilities, tokens = self.model.run(prepared)
return self.model.respond(prepared, probabilities, tokens)
except ValueError as exc:
raise _unprocessable(str(exc)) from exc
class SystemOneServer(ThreadingHTTPServer):
"""One listening socket; a thread per connection; the model runs under the decider's lock."""
daemon_threads = True
# Room for many clients connecting at once (the standard library's default backlog is 5).
request_queue_size = 128
def __init__(self, address: tuple[str, int], decider: Decider, *, api_key: str | None = None):
super().__init__(address, SystemOneHandler)
self.decider = decider
self.key_digest = hashlib.sha256(api_key.encode("utf-8")).digest() if api_key else None
class SystemOneHandler(BaseHTTPRequestHandler):
protocol_version = "HTTP/1.1"
server_version = "d3-server"
sys_version = ""
timeout = IDLE_SECONDS
# Headers and body are separate writes; without TCP_NODELAY the body waits for the client's delayed ACK.
disable_nagle_algorithm = True
# A request line the standard library cannot parse gets a plain-text error with a full status line.
default_request_version = "HTTP/1.1"
error_content_type = "text/plain; charset=utf-8"
error_message_format = "%(code)d: %(explain)s\n"
def send_error(self, code: int, message: str | None = None, explain: str | None = None) -> None:
# An HTTP version this server does not speak is answered as a malformed request.
if code == HTTPStatus.HTTP_VERSION_NOT_SUPPORTED:
code = HTTPStatus.BAD_REQUEST
super().send_error(code, message, explain)
def do_GET(self) -> None:
self.route("GET")
def do_POST(self) -> None:
self.route("POST")
def do_PUT(self) -> None:
self.route("PUT")
def do_PATCH(self) -> None:
self.route("PATCH")
def do_DELETE(self) -> None:
self.route("DELETE")
def do_OPTIONS(self) -> None:
self.route("OPTIONS")
def do_HEAD(self) -> None:
self.route("HEAD")
def route(self, method: str) -> None:
"""Read the whole body (keeps the connection usable), then dispatch, redirect, 405 or 404."""
# The target as sent: http.server folds a leading "//" in self.path.
path, mark, query = self.requestline.split()[1].partition("?")
try:
raw = self.read_body()
except Framing as exc:
self.close_connection = True
self.send_text(HTTPStatus.BAD_REQUEST, str(exc))
return
try:
allowed = ROUTES.get(path)
if allowed is None:
target = path.rstrip("/")
if path.endswith("/") and target in ROUTES:
self.redirect(target + mark + query)
return
raise Refusal(HTTPStatus.NOT_FOUND, f"nothing is served at {path}")
if method != allowed:
raise Refusal(
HTTPStatus.METHOD_NOT_ALLOWED, f"{path} answers {allowed} only", {"Allow": allowed}
)
if path in PROTECTED and not self.authorized():
raise Refusal(HTTPStatus.UNAUTHORIZED, "a valid bearer key is required", {"WWW-Authenticate": "Bearer"})
decider = self.server.decider
if path == HEALTH_PATH:
reply = decider.health(self.server.key_digest is not None)
elif path == MODELS_PATH:
reply = decider.models()
else:
reply = decider.answer(self.parse(raw))
except Refusal as refusal:
self.send_json(refusal.status, {"detail": refusal.detail}, refusal.headers)
return
except Exception as exc: # noqa: BLE001 - the client gets a plain-text 500, the server keeps running
self.log_error("System One request failed: %s: %s", type(exc).__name__, exc)
self.send_text(HTTPStatus.INTERNAL_SERVER_ERROR, f"the server failed on this request ({type(exc).__name__})")
return
self.send_json(HTTPStatus.OK, reply)
def authorized(self) -> bool:
"""True without a configured key; else the request must send ``Authorization: Bearer <key>`` exactly."""
expected = self.server.key_digest
if expected is None:
return True
scheme, space, credential = self.headers.get("Authorization", "").partition(" ")
offered = hashlib.sha256(credential.encode("utf-8")).digest()
return scheme == "Bearer" and space == " " and hmac.compare_digest(offered, expected)
def read_body(self) -> bytes:
"""The request body: Content-Length bytes, a chunked body, or none at all."""
coding = self.headers.get("Transfer-Encoding")
size = self.headers.get("Content-Length")
if coding is not None:
if size is not None or coding.strip().lower() != "chunked":
raise Framing("use either Content-Length or Transfer-Encoding: chunked")
return self.read_chunks()
if size is None:
return b""
size = size.strip()
if not size.isdigit():
raise Framing("Content-Length must be a byte count")
raw = self.rfile.read(int(size))
if len(raw) != int(size):
raise Framing("the connection closed before Content-Length bytes arrived")
return raw
def read_chunks(self) -> bytes:
parts = []
while True:
line = self.rfile.readline(1 << 16)
digits = line.split(b";", 1)[0].strip()
if not digits or any(c not in b"0123456789abcdefABCDEF" for c in digits):
raise Framing("a chunk must start with its size in hexadecimal")
size = int(digits, 16)
if size == 0:
while self.rfile.readline(1 << 16) not in (b"\r\n", b"\n", b""):
pass
return b"".join(parts)
chunk = self.rfile.read(size)
if len(chunk) != size or self.rfile.readline(3) not in (b"\r\n", b"\n"):
raise Framing("a chunk is shorter than its size")
parts.append(chunk)
def parse(self, raw: bytes) -> Any:
try:
return json.loads(raw, parse_constant=_no_constants)
except ValueError as exc:
raise _unprocessable(f"could not read the body as JSON ({exc})") from exc
def redirect(self, target: str) -> None:
host = self.headers.get("Host") or "%s:%d" % self.server.server_address[:2]
self.send_response(HTTPStatus.TEMPORARY_REDIRECT)
self.send_header("Location", f"http://{host}{target}")
self.send_header("Content-Length", "0")
self.end_headers()
def send_text(self, status: HTTPStatus, text: str) -> None:
data = f"{int(status)}: {text}\n".encode("utf-8")
self.send_response(status)
self.send_header("Content-Type", "text/plain; charset=utf-8")
self.send_header("Content-Length", str(len(data)))
if self.close_connection:
self.send_header("Connection", "close")
self.end_headers()
if self.command != "HEAD":
self.wfile.write(data)
def send_json(self, status: HTTPStatus, body: Any, headers: dict[str, str] | None = None) -> None:
try:
data = json.dumps(body, ensure_ascii=False, allow_nan=False, separators=(",", ":")).encode("utf-8")
except ValueError:
status, headers = HTTPStatus.INTERNAL_SERVER_ERROR, None
data = b'{"detail":"the reply holds a number that JSON cannot carry"}'
self.send_response(status)
self.send_header("Content-Type", JSON_TYPE)
self.send_header("Content-Length", str(len(data)))
for name, value in (headers or {}).items():
self.send_header(name, value)
if self.close_connection:
self.send_header("Connection", "close")
self.end_headers()
if self.command != "HEAD":
self.wfile.write(data)
def serve(model: D3, host: str = "127.0.0.1", port: int = 8000, *, api_key: str | None = None) -> SystemOneServer:
"""A bound server for a loaded model (port 0 picks a free port); run ``serve_forever()`` on it."""
return SystemOneServer((host, port), Decider(model), api_key=api_key)
def main(argv: list[str] | None = None) -> int:
ap = argparse.ArgumentParser(description="Serve the System One decisions of a d3 package over HTTP.")
ap.add_argument("--model", default=HERE, help="package directory or Hub id (default: the package of this file)")
ap.add_argument("--revision", help="Hub revision (branch, tag or commit)")
ap.add_argument("--device", help="default: cuda:0 when a GPU is visible, else cpu")
ap.add_argument("--batch-size", type=int, default=DEFAULT_BATCH_SIZE, help="questions per forward pass")
ap.add_argument("--verify", choices=VERIFY_MODES, default="fast", help="package check against MODEL_MANIFEST.json")
ap.add_argument("--name", help="model name the server reports (default: the package's model name)")
ap.add_argument("--no-warmup", action="store_true", help="serve without first compiling the kernels")
ap.add_argument("--host", default="127.0.0.1")
ap.add_argument("--port", type=int, default=8000)
args = ap.parse_args(argv)
model = D3.from_pretrained(
args.model,
revision=args.revision,
device=args.device,
batch_size=args.batch_size,
verify=args.verify,
)
if args.name:
model.model_name = args.name
if not args.no_warmup:
model.warmup()
api_key = os.environ.get(KEY_VARIABLE) or None
server = serve(model, args.host, args.port, api_key=api_key)
host, port = server.server_address[:2]
access = "bearer key required" if api_key else f"open (set {KEY_VARIABLE} to require a bearer key)"
print(f"d3 System One server: {model.model_name} on http://{host}:{port}{SYSTEM_ONE_PATH}; {access}", flush=True)
try:
server.serve_forever()
except KeyboardInterrupt:
pass
finally:
server.server_close()
return 0
if __name__ == "__main__":
sys.exit(main())
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