Text Classification
Transformers
Safetensors
English
nli
cross-encoder
qwen3.5
reranker
image-text-to-text
Instructions to use AlexWortega/openjev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexWortega/openjev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexWortega/openjev")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlexWortega/openjev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 390 Bytes
26de23c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | """Small dependency-free systemd notification helper."""
import os
import socket
def notify(message):
address = os.environ.get("NOTIFY_SOCKET")
if not address:
return
if address.startswith("@"):
address = "\0" + address[1:]
with socket.socket(socket.AF_UNIX, socket.SOCK_DGRAM) as sock:
sock.connect(address)
sock.sendall(message.encode())
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