A newer version of this model is available: deepseek-ai/DeepSeek-R1

OpalHours AI

OpalHours AI is a lightweight language model designed to assist with watch-related e-commerce content. It helps generate product descriptions, respond to customer queries, and maintain a consistent brand tone—especially for businesses communicating in both English and Roman Urdu.

Model Capabilities

  • Create elegant product descriptions for wristwatches
  • Generate quick replies for customer messages (WhatsApp-style)
  • Suggest taglines, captions, and headlines
  • Supports basic Roman Urdu generation (e.g., "yeh watch classy aur modern lagti hai")

Example Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("opalhours/opalhours-ai")
model = AutoModelForCausalLM.from_pretrained("opalhours/opalhours-ai")

prompt = "Describe a minimal silver dial men's watch with a black leather strap."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Downloads last month
0
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MuzammilKhosa/opalhours-ai

Unable to build the model tree, the base model loops to the model itself. Learn more.

Dataset used to train MuzammilKhosa/opalhours-ai