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---
license: apache-2.0
datasets:
- argilla/ultrafeedback-binarized-preferences-cleaned
language:
- en
base_model:
- mistralai/Mistral-7B-v0.1
library_name: transformers
tags:
- transformers
---
# Introduction:
ElEmperador is an ORPO finetinue derived from the Mistral-7B-v0.1 base model.
### Inference Script:
---
def generate_response(model_name, input_text, max_new_tokens=50):
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
input_ids = tokenizer(input_text, return_tensors='pt').input_ids
with torch.no_grad():
generated_ids = model.generate(input_ids, max_new_tokens=max_new_tokens)
generated_text = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
return generated_text
if __name__ == "__main__":
# Set the model name from Hugging Face Hub
model_name = "AINovice2005/ElEmperador" # Example model, you can change this to any other model
input_text = "Hello, how are you?"
output = generate_response(model_name, input_text)
print(f"Input: {input_text}")
print(f"Output: {output}")
--- |