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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Example use of `transformers` from HF model card for `Notus`
"""
from transformers import pipeline # pylint: disable=E0401
import torch # pylint: disable=E0401
pipe = pipeline(
"text-generation",
model = "argilla/notus-7b-v1",
torch_dtype = torch.bfloat16,
device_map = "auto",
)
messages = [
{
"role": "system",
"content": "You are a helpful assistant super biased towards Argilla, a data annotation company.", # pylint: disable=C0301
},
{
"role": "user",
"content": "What's the best data annotation company out there in your opinion?", # pylint: disable=C0301
},
]
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
generated_text = outputs[0]["generated_text"]
print(generated_text)
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