Text Classification
Transformers
Safetensors
Chinese
spam-detection
advertising-detection
ad-classification
chinese
modernbert
mmbert
multi-task
four-head
Instructions to use x6nux/laya-ad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use x6nux/laya-ad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="x6nux/laya-ad")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("x6nux/laya-ad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 7,069 Bytes
e2492ec | 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 | #!/usr/bin/env python3
"""Backfill gmeow ban records from Common Crawl snapshots (via proxy pool).
For every collection that captured gkybot.gmeow.cc/latestban, fetch the WARC
record by byte range, decompress, parse with the same parser as the live
collector and append to the shared store with source=cc:<collection>.
Usage:
python scripts/cc_backfill_gmeow.py --scan # index only
python scripts/cc_backfill_gmeow.py --fetch # download + parse
"""
from __future__ import annotations
import argparse
import gzip
import json
import random
import subprocess
import sys
import time
import urllib.parse
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent))
from collect_gmeow_bans import append_records, load_seen, parse_page # noqa: E402
ROOT = Path("data/raw/gmeow")
COLLINFO = ROOT / "cc_collinfo.json"
INDEX_OUT = ROOT / "cc_index.jsonl"
PROXY_TOOL = Path("C:/Users/ll/.agents/skills/proxy-pool/scripts/proxy_pool.py")
def proxies(n: int = 6) -> list[str]:
try:
out = subprocess.run([sys.executable, str(PROXY_TOOL), "pick",
"--type", "socks5", "--n", str(n)],
capture_output=True, text=True, check=True).stdout
items = [ln.strip() for ln in out.splitlines() if ln.startswith("socks5h://")]
return items or []
except Exception as exc: # noqa: BLE001
print(f"[warn] proxy pick failed: {exc}")
return []
def curl(url: str, proxy: str | None, timeout: int = 60,
out: Path | None = None, headers: list[str] | None = None) -> bytes:
cmd = ["curl", "-sS", "-m", str(timeout), "-L"]
if proxy:
cmd += ["-x", proxy]
for h in headers or []:
cmd += ["-H", h]
if out:
cmd += ["-o", str(out)]
cmd.append(url)
res = subprocess.run(cmd, capture_output=True)
if res.returncode != 0:
raise RuntimeError(f"curl exit {res.returncode}: {res.stderr.decode('utf-8','replace')[:200]}")
return res.stdout
def scan(collections: list[str]) -> None:
pool = proxies()
if not pool:
raise SystemExit("no proxies available")
seen_lines = set()
if INDEX_OUT.exists():
seen_lines = {ln for ln in INDEX_OUT.read_text(encoding="utf-8").splitlines() if ln}
with INDEX_OUT.open("a", encoding="utf-8") as fh:
for i, cid in enumerate(collections):
q = urllib.parse.urlencode({
"url": "gkybot.gmeow.cc", "matchType": "domain",
"output": "json", "limit": "200"})
url = f"https://index.commoncrawl.org/{cid}-index?{q}"
try:
body = curl(url, pool[i % len(pool)], timeout=60)
text = body.decode("utf-8", "replace").strip()
except Exception as exc: # noqa: BLE001
print(f"[scan] {cid} ERR {exc}")
time.sleep(3)
continue
if not text or text.startswith('{"message"'):
print(f"[scan] {cid} empty")
time.sleep(1.5)
continue
if text.startswith("<"):
print(f"[scan] {cid} non-json ({text[:40]!r})")
time.sleep(2)
continue
try:
rows = [json.loads(ln) for ln in text.splitlines() if ln.strip()]
except json.JSONDecodeError:
print(f"[scan] {cid} bad json ({text[:60]!r})")
time.sleep(2)
continue
new = 0
for r in rows:
keys = {k: r.get(k) for k in
("url", "timestamp", "filename", "offset", "length", "status", "mime")}
line = json.dumps(keys, ensure_ascii=False)
if line in seen_lines:
continue
seen_lines.add(line)
fh.write(line + "\n")
new += 1
fh.flush()
print(f"[scan] {cid} captures={len(rows)} new={new}")
time.sleep(1.5)
def warc_body(raw: bytes) -> bytes | None:
"""Extract the HTTP body from a raw WARC response record."""
idx = raw.find(b"\r\n\r\n")
if idx < 0:
return None
rest = raw[idx + 4:]
# skip WARC headers already done; rest starts with HTTP response headers
hidx = rest.find(b"\r\n\r\n")
if hidx < 0:
return None
headers = rest[:hidx].decode("latin-1", "replace").lower()
body = rest[hidx + 4:]
if "content-encoding: gzip" in headers or body[:2] == b"\x1f\x8b":
try:
body = gzip.decompress(body)
except Exception: # noqa: BLE001
try:
body = gzip.GzipFile(fileobj=__import__("io").BytesIO(body)).read()
except Exception:
return None
return body
def fetch(store: Path) -> None:
if not INDEX_OUT.exists():
raise SystemExit("run --scan first")
pool = proxies()
if not pool:
raise SystemExit("no proxies available")
rows = [json.loads(l) for l in INDEX_OUT.open(encoding="utf-8") if l.strip()]
latest = [r for r in rows if "/latestban" in r["url"] and r.get("status") == "200"]
latest.sort(key=lambda r: r["timestamp"], reverse=True)
print(f"[fetch] latestban captures={len(latest)}")
seen = load_seen(store)
for i, r in enumerate(latest):
start = int(r["offset"])
end = start + int(r["length"]) - 1
url = f"https://data.commoncrawl.org/{r['filename']}"
try:
raw = curl(url, pool[i % len(pool)], timeout=120,
headers=[f"Range: bytes={start}-{end}"])
body = warc_body(raw)
if not body:
print(f"[fetch] {r['timestamp']} no body")
continue
html = body.decode("utf-8", "replace")
records = parse_page(html)
new = [x for x in records if x["id"] not in seen]
for x in new:
seen.add(x["id"])
append_records(store, new, f"cc:{r['timestamp'][:8]}")
print(f"[fetch] {r['timestamp']} records={len(records)} new={len(new)}")
except Exception as exc: # noqa: BLE001
print(f"[fetch] {r['timestamp']} ERR {exc}")
time.sleep(1.5)
def main() -> int:
ap = argparse.ArgumentParser()
ap.add_argument("--scan", action="store_true")
ap.add_argument("--fetch", action="store_true")
ap.add_argument("--store", type=Path, default=Path("data/raw/gmeow/bans.jsonl"))
ap.add_argument("--since", default="CC-MAIN-2024")
ap.add_argument("--max-collections", type=int, default=0)
args = ap.parse_args()
if args.scan:
colls = [x["id"] for x in json.loads(COLLINFO.read_text(encoding="utf-8"))
if x["id"] >= args.since]
if args.max_collections:
colls = colls[-args.max_collections:]
print(f"scanning {len(colls)} collections")
scan(colls)
if args.fetch:
fetch(args.store)
return 0
if __name__ == "__main__":
raise SystemExit(main())
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