🚀 Quantumhash

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

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🔥 Try It Now

Use the inference widget below or in your own application.

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🚀 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]))

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

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