README.md

---
license: apache-2.0
tags:
- text-generation
- deep-learning
language:
- en
base_model:
- sbapan41/Quantumhash
new_version: sbapan41/Quantumhash
pipeline_tag: text-generation
library_name: transformers
---

# 🚀 Quantumhash

This is a **Quantumhash** trained for **text generation**.  
You can use it to **as a text_generation Model**.

---

## 🔥 Try It Now  
Use the inference widget below or in your own application.

[![🤗 Try on Spaces](https://img.shields.io/badge/Try%20on-Hugging%20Face%20Spaces-blue)](https://huggingface.co/spaces/sbapan41/Quantumhash)

---

## 🚀 **How to Use This Model**
### 🔹 **Use in Python**
For **text models (Transformers)**:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "sbapan41/Quantumhash"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Once upon a time..."
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs)
print(tokenizer.decode(output[0]))

---
## 🌍 Inference API
### Try the model directly in your browser with the Hugging Face Inference API.
---
from huggingface_hub import InferenceClient

client = InferenceClient(model="sbapan41/Quantumhash")
response = client.text_generation("Hello, how are you?")
print(response)