metadata
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.
🚀 How to Use This Model
🔹 Use in Python
For text models (Transformers):
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)